diff --git a/README.md b/README.md index ae6e9fe..4d115f3 100755 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ -[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html#stable) [![R-CMD-check](https://github.com/masiraji/tabledown/workflows/R-CMD-check/badge.svg)](https://github.com/masiraji/tabledown/actions) [![license](https://img.shields.io/badge/license-MIT%20+%20file%20LICENSE-lightgrey.svg)](https://choosealicense.com/) [![metacran downloads](https://cranlogs.r-pkg.org/badges/tabledown)](https://cran.r-project.org/package=tabledown) +[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html#stable) [![license](https://img.shields.io/badge/license-MIT%20+%20file%20LICENSE-lightgrey.svg)](https://choosealicense.com/) [![metacran downloads](https://cranlogs.r-pkg.org/badges/tabledown)](https://cran.r-project.org/package=tabledown) [![R-CMD-check](https://github.com/masiraji/tabledown/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/masiraji/tabledown/actions/workflows/R-CMD-check.yaml) diff --git a/data-raw/devtools.R b/data-raw/devtools.R index ae8e9ed..8948131 100644 --- a/data-raw/devtools.R +++ b/data-raw/devtools.R @@ -9,6 +9,7 @@ usethis::browse_github() rm(list = c("ac.tab")) #packgedown +pkgdown::init_site() pkgdown::build_site() pkgdown::build_home(pkg = ".", override = list(), preview = NA, quiet = TRUE) @@ -32,7 +33,7 @@ usethis::git_vaccinate() usethis::use_build_ignore(".github") #Spelling usethis::use_spell_check() - +devtools::check() #Use magrittr's pipe in your package usethis::use_pipe() @@ -109,7 +110,7 @@ pack["ggplot2","Imports"] - +#Use this two for the updated page deployment (Do not use the previous method) usethis::use_github_action("check-standard") diff --git a/docs/404.html b/docs/404.html index b37d933..41ef8b3 100755 --- a/docs/404.html +++ b/docs/404.html @@ -4,99 +4,86 @@ - + Page not found (404) • tabledown - - - + + + - - + - + + Skip to contents -
-
-
- Content not found. Please use links in the navbar. -
- - -
- - -
- diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html index c7762ed..0c05581 100755 --- a/docs/LICENSE-text.html +++ b/docs/LICENSE-text.html @@ -1,78 +1,68 @@ -License • tabledownLicense • tabledown + + Skip to contents -
-
+
+
+
-
-
YEAR: 2021
 COPYRIGHT HOLDER: tabledown authors
 
-
- - +
-
- - - - diff --git a/docs/LICENSE.html b/docs/LICENSE.html index 89da299..12ecfee 100755 --- a/docs/LICENSE.html +++ b/docs/LICENSE.html @@ -1,49 +1,47 @@ -MIT License • tabledownMIT License • tabledown + + Skip to contents -
-
-
- +
+
+
@@ -54,29 +52,21 @@

MIT License

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

-
- - +
-
- - -
+
- diff --git a/docs/THANKS.html b/docs/THANKS.html index d4f24cf..f7a14cb 100755 --- a/docs/THANKS.html +++ b/docs/THANKS.html @@ -1,76 +1,66 @@ -NA • tabledownNA • tabledown + + Skip to contents -
-
-
- +
+
+

Thank you for checking out this package!

-
- - +
-
- - -
+
- diff --git a/docs/authors.html b/docs/authors.html index a4379ca..b06e091 100755 --- a/docs/authors.html +++ b/docs/authors.html @@ -1,97 +1,89 @@ -Authors and Citation • tabledownAuthors and Citation • tabledown + + Skip to contents -
-
-
-
- + +
+
+
+
+
+

Authors

  • Mushfiqul Anwar Siraji. Author, maintainer.

-
-
-

Citation

- Source: DESCRIPTION -
-
+
+

Citation

+

Source: DESCRIPTION

-

Siraji M (2024). +

Siraji M (2024). tabledown: Create Publication Quality Tables and Plots. -R package version 0.0.3.9001, https://github.com/masiraji/tabledown. +R package version 0.0.3.9002, https://masiraji.github.io/tabledown/.

-
@Manual{,
+      
@Manual{,
   title = {tabledown: Create Publication Quality Tables and Plots},
   author = {Mushfiqul Anwar Siraji},
   year = {2024},
-  note = {R package version 0.0.3.9001},
-  url = {https://github.com/masiraji/tabledown},
+  note = {R package version 0.0.3.9002},
+  url = {https://masiraji.github.io/tabledown/},
 }
- -
- -
- +
+
-
+
- diff --git a/docs/index.html b/docs/index.html index 113239e..0c3f309 100644 --- a/docs/index.html +++ b/docs/index.html @@ -4,73 +4,67 @@ - + + Create Publication Quality Tables and Plots • tabledown - - - + + + - - + - + + Skip to contents -
-
-
-
+ +
+
+
+
-

This package is a companion R package for the Book ” Basic and Advanced Psychometrics in R” [work in Progress]

This package includes data-frames and some interesting functions to create publication-friendly summary tables for factor analysis, confirmatory factor analysis and item analysis.

@@ -248,10 +242,7 @@

Creating Summary Table for Ite

-
- - -
- diff --git a/docs/news/index.html b/docs/news/index.html index a3cf804..68f0a93 100755 --- a/docs/news/index.html +++ b/docs/news/index.html @@ -1,102 +1,108 @@ -Changelog • tabledownChangelog • tabledown + + Skip to contents -
-
-
- +
+
+
- +

tabledown 0.0.3.9002

+
+

Dev

+
  • All good to send for an Update (#4).
  • +
+
+

Uncategorized

+
  • +

    Merge pull request #1 from masiraji/dev.

    +

    Website updated

    +
  • +
  • CRAN approved and Github released.

  • +
+
+
+

tabledown 0.0.3.9001

  • CRAN approved and Github released
- +

tabledown 0.0.3.9000

  • Same as previous version.
- +

tabledown 0.0.3

CRAN release: 2022-09-30

  • Internal changes only.
- +

tabledown 0.0.2

  • Internal changes only.
- +

tabledown 0.0.1

  • Same as previous version.
- +

tabledown 0.0.0.105

  • Internal changes only.
- +

tabledown 1.0.0

  • Added a NEWS.md file to track changes to the package.
-
+
- -
- - -
+
- diff --git a/docs/pkgdown.js b/docs/pkgdown.js index 6f0eee4..5fccd9c 100644 --- a/docs/pkgdown.js +++ b/docs/pkgdown.js @@ -2,70 +2,30 @@ (function($) { $(function() { - $('.navbar-fixed-top').headroom(); + $('nav.navbar').headroom(); - $('body').css('padding-top', $('.navbar').height() + 10); - $(window).resize(function(){ - $('body').css('padding-top', $('.navbar').height() + 10); + Toc.init({ + $nav: $("#toc"), + $scope: $("main h2, main h3, main h4, main h5, main h6") }); - $('[data-toggle="tooltip"]').tooltip(); - - var cur_path = paths(location.pathname); - var links = $("#navbar ul li a"); - var max_length = -1; - var pos = -1; - for (var i = 0; i < links.length; i++) { - if (links[i].getAttribute("href") === "#") - continue; - // Ignore external links - if (links[i].host !== location.host) - continue; - - var nav_path = paths(links[i].pathname); - - var length = prefix_length(nav_path, cur_path); - if (length > max_length) { - max_length = length; - pos = i; - } - } - - // Add class to parent
  • , and enclosing
  • if in dropdown - if (pos >= 0) { - var menu_anchor = $(links[pos]); - menu_anchor.parent().addClass("active"); - menu_anchor.closest("li.dropdown").addClass("active"); - } - }); - - function paths(pathname) { - var pieces = pathname.split("/"); - pieces.shift(); // always starts with / - - var end = pieces[pieces.length - 1]; - if (end === "index.html" || end === "") - pieces.pop(); - return(pieces); - } - - // Returns -1 if not found - function prefix_length(needle, haystack) { - if (needle.length > haystack.length) - return(-1); - - // Special case for length-0 haystack, since for loop won't run - if (haystack.length === 0) { - return(needle.length === 0 ? 0 : -1); + if ($('#toc').length) { + $('body').scrollspy({ + target: '#toc', + offset: $("nav.navbar").outerHeight() + 1 + }); } - for (var i = 0; i < haystack.length; i++) { - if (needle[i] != haystack[i]) - return(i); - } + // Activate popovers + $('[data-bs-toggle="popover"]').popover({ + container: 'body', + html: true, + trigger: 'focus', + placement: "top", + sanitize: false, + }); - return(haystack.length); - } + $('[data-bs-toggle="tooltip"]').tooltip(); /* Clipboard --------------------------*/ @@ -78,7 +38,7 @@ if(ClipboardJS.isSupported()) { $(document).ready(function() { - var copyButton = ""; + var copyButton = ""; $("div.sourceCode").addClass("hasCopyButton"); @@ -89,20 +49,108 @@ $('.btn-copy-ex').tooltip({container: 'body'}); // Initialize clipboard: - var clipboardBtnCopies = new ClipboardJS('[data-clipboard-copy]', { + var clipboard = new ClipboardJS('[data-clipboard-copy]', { text: function(trigger) { return trigger.parentNode.textContent.replace(/\n#>[^\n]*/g, ""); } }); - clipboardBtnCopies.on('success', function(e) { + clipboard.on('success', function(e) { changeTooltipMessage(e.trigger, 'Copied!'); e.clearSelection(); }); - clipboardBtnCopies.on('error', function() { + clipboard.on('error', function() { changeTooltipMessage(e.trigger,'Press Ctrl+C or Command+C to copy'); }); + }); } + + /* Search marking --------------------------*/ + var url = new URL(window.location.href); + var toMark = url.searchParams.get("q"); + var mark = new Mark("main#main"); + if (toMark) { + mark.mark(toMark, { + accuracy: { + value: "complementary", + limiters: [",", ".", ":", "/"], + } + }); + } + + /* Search --------------------------*/ + /* Adapted from https://github.com/rstudio/bookdown/blob/2d692ba4b61f1e466c92e78fd712b0ab08c11d31/inst/resources/bs4_book/bs4_book.js#L25 */ + // Initialise search index on focus + var fuse; + $("#search-input").focus(async function(e) { + if (fuse) { + return; + } + + $(e.target).addClass("loading"); + var response = await fetch($("#search-input").data("search-index")); + var data = await response.json(); + + var options = { + keys: ["what", "text", "code"], + ignoreLocation: true, + threshold: 0.1, + includeMatches: true, + includeScore: true, + }; + fuse = new Fuse(data, options); + + $(e.target).removeClass("loading"); + }); + + // Use algolia autocomplete + var options = { + autoselect: true, + debug: true, + hint: false, + minLength: 2, + }; + var q; +async function searchFuse(query, callback) { + await fuse; + + var items; + if (!fuse) { + items = []; + } else { + q = query; + var results = fuse.search(query, { limit: 20 }); + items = results + .filter((x) => x.score <= 0.75) + .map((x) => x.item); + if (items.length === 0) { + items = [{dir:"Sorry 😿",previous_headings:"",title:"No results found.",what:"No results found.",path:window.location.href}]; + } + } + callback(items); +} + $("#search-input").autocomplete(options, [ + { + name: "content", + source: searchFuse, + templates: { + suggestion: (s) => { + if (s.title == s.what) { + return `${s.dir} >
    ${s.title}
    `; + } else if (s.previous_headings == "") { + return `${s.dir} >
    ${s.title}
    > ${s.what}`; + } else { + return `${s.dir} >
    ${s.title}
    > ${s.previous_headings} > ${s.what}`; + } + }, + }, + }, + ]).on('autocomplete:selected', function(event, s) { + window.location.href = s.path + "?q=" + q + "#" + s.id; + }); + }); })(window.jQuery || window.$) + + diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml index 9c62c4f..23d8350 100644 --- a/docs/pkgdown.yml +++ b/docs/pkgdown.yml @@ -2,5 +2,8 @@ pandoc: 3.1.1 pkgdown: 2.0.7 pkgdown_sha: ~ articles: {} -last_built: 2024-01-08T15:33Z +last_built: 2024-04-30T14:18Z +urls: + reference: https://masiraji.github.io/tabledown/reference + article: https://masiraji.github.io/tabledown/articles diff --git a/docs/reference/FFMQ.CFA.html b/docs/reference/FFMQ.CFA.html index 879c46f..b4108d9 100755 --- a/docs/reference/FFMQ.CFA.html +++ b/docs/reference/FFMQ.CFA.html @@ -1,63 +1,61 @@ -Structural Validity data of FFMQ — FFMQ.CFA • tabledownStructural Validity data of FFMQ — FFMQ.CFA • tabledown + + Skip to contents -
    -
    -
    - + + +
    +
    +
    +
    -
    +

    This is the structural validation data of Bangla Five Facet Mindfulness Questionnaire

    -
    +
    +

    Usage

    FFMQ.CFA
    -
    -

    Format

    +
    +

    Format

    A data frame with 277 rows and 47 variables:

    ID

    double COLUMN_DESCRIPTION

    @@ -201,31 +199,27 @@

    Format

    - - -
    +
    -
    +
    - diff --git a/docs/reference/FFMQ.Val.html b/docs/reference/FFMQ.Val.html index efc2ffc..2cb97d9 100755 --- a/docs/reference/FFMQ.Val.html +++ b/docs/reference/FFMQ.Val.html @@ -1,63 +1,61 @@ -Correlational based Valididity evidence of FFMQ — FFMQ.Val • tabledownCorrelational based Valididity evidence of FFMQ — FFMQ.Val • tabledown + + Skip to contents -
    -
    -
    - + + +
    +
    +
    +
    -
    +

    Correlational based Valididity evidence of Bangla FFMQ

    -
    +
    +

    Usage

    FFMQ.Val
    -
    -

    Format

    +
    +

    Format

    A data frame with 255 rows and 106 variables:

    id

    double COLUMN_DESCRIPTION

    @@ -378,31 +376,27 @@

    Format

    - - -
    +
    -
    +
    - diff --git a/docs/reference/Gantt.html b/docs/reference/Gantt.html index 9690523..d5829f4 100755 --- a/docs/reference/Gantt.html +++ b/docs/reference/Gantt.html @@ -1,63 +1,61 @@ -Gantt Data — Gantt • tabledownGantt Data — Gantt • tabledown + + Skip to contents -
    -
    -
    - + + +
    +
    +
    +
    -
    +

    Demo project breakdown to create Gantt

    -
    +
    +

    Usage

    Gantt
    -
    -

    Format

    +
    +

    Format

    A data frame with 25 rows and 4 variables:

    wp

    character Main Component

    @@ -72,31 +70,27 @@

    Format

    - - -
    +
    -
    +
    - diff --git a/docs/reference/Rotter.html b/docs/reference/Rotter.html index bd0fa8d..c81ffa7 100755 --- a/docs/reference/Rotter.html +++ b/docs/reference/Rotter.html @@ -1,63 +1,61 @@ -Validation Data of Bangla Rotter I-E Scale — Rotter • tabledownValidation Data of Bangla Rotter I-E Scale — Rotter • tabledown + + Skip to contents -
    -
    -
    - + + +
    +
    +
    +
    -
    +

    This is the validation data of Bangla Rotter's Internal and External Scale.

    -
    +
    +

    Usage

    Rotter
    -
    -

    Format

    +
    +

    Format

    A data frame with 478 rows and 91 variables:

    id

    double Id

    @@ -333,31 +331,27 @@

    Format

    - - -
    +
    -
    +
    - diff --git a/docs/reference/Spot.html b/docs/reference/Spot.html index f0fb9dc..e900f7a 100755 --- a/docs/reference/Spot.html +++ b/docs/reference/Spot.html @@ -1,63 +1,61 @@ -Spot Data — Spot • tabledownSpot Data — Spot • tabledown + + Skip to contents -
    -
    -
    - + + +
    +
    +
    +
    -
    +

    Additional demo data for GanTT

    -
    +
    +

    Usage

    Spot
    -
    -

    Format

    +
    +

    Format

    A data frame with 29 rows and 3 variables:

    activity

    character Activity

    @@ -69,31 +67,27 @@

    Format

    - - -
    +
    -
    +
    - diff --git a/docs/reference/bedTime.html b/docs/reference/bedTime.html index 365959c..73907e2 100755 --- a/docs/reference/bedTime.html +++ b/docs/reference/bedTime.html @@ -1,5 +1,10 @@ -A Function for calculating time spent in bed. — bedTime • tabledownA Function for calculating time spent in bed. — bedTime • tabledown + + Skip to contents -
    -
    -
    - + + +
    +
    +
    +
    -
    +

    This function will help you to calculate the time a person spent in bed based on their sleep log. This type of calculation is very common in sleep research. However, as one can guess, working with dates in R is a bit tricky. @@ -62,12 +64,13 @@

    A Function for calculating time spent in bed.

    Just wake up time and time to go to bed is enough (24 hour format).

    -
    +
    +

    Usage

    bedTime(x, y)
    -
    -

    Arguments

    +
    +

    Arguments

    x

    A vector containing time to do to bed.

    @@ -76,15 +79,15 @@

    Arguments

    A vector containing time of wake.

    -
    -

    Value

    +
    +

    Value

    Calculates time spent in bed in hours. Output class is numeric.

    -
    -

    Examples

    +
    +

    Examples

    #Please use 24 hour format.
     #Easiest way is to enter the data as character.
     bed <-c("20:00", "21:00", "23:00")
    @@ -93,26 +96,22 @@ 

    Examples

    -
    - -
    +
    -
    +
    - diff --git a/docs/reference/cfa.tab.html b/docs/reference/cfa.tab.html index 7fbf853..0eac039 100755 --- a/docs/reference/cfa.tab.html +++ b/docs/reference/cfa.tab.html @@ -1,63 +1,61 @@ -A Function for Creating Publication Quality Tables with CFA fit indices. — cfa.tab • tabledownA Function for Creating Publication Quality Tables with CFA fit indices. — cfa.tab • tabledown + + Skip to contents -
    -
    -
    - + + +
    +
    +
    +
    -
    +

    This function will create publication worthy tables with CFA fit indices from lavaan class object.

    -
    +
    +

    Usage

    cfa.tab(x, robust = FALSE)
    -
    -

    Arguments

    +
    +

    Arguments

    x

    A lavaan class object.

    @@ -66,18 +64,18 @@

    Arguments

    If TRUE, will provide robust fit indices when applicable instead of the default indices.

    -
    -

    Value

    +
    +

    Value

    A summary with CFA fit indices in a matrix structure.

    -
    -

    Examples

    +
    +

    Examples

    data <- tabledown::FFMQ.CFA
     FF.model.Original <- "Observe =~ item1 + item6 + item11 + item15 +
    -item20 + item26 + item31 + item 36
    +item20 + item26 + item31 + item36
     Describe =~ item2 + item7 + Ritem12 + Ritem16 + Ritem22 + item27 +
     item32 + item37
     Awareness =~ Ritem5 + Ritem8 + Ritem13 + Ritem18 + Ritem23 + Ritem28
    @@ -92,26 +90,22 @@ 

    Examples

    -
    - -
    +
    -
    +
    - diff --git a/docs/reference/cfa.tab.multi.html b/docs/reference/cfa.tab.multi.html index 5e3b440..df69f94 100755 --- a/docs/reference/cfa.tab.multi.html +++ b/docs/reference/cfa.tab.multi.html @@ -1,58 +1,59 @@ -A Function for Creating Publication Quality Tables with CFA fit indices from several lavaan objects. — cfa.tab.multi • tabledownA Function for Creating Publication Quality Tables with CFA fit indices from several lavaan objects. — cfa.tab.multi • tabledown + + Skip to contents -
    -
    -
    - + + +
    +
    +
    +
    -
    +

    Often researchers are required to show fit indices from several CFA models. This function will create publication worthy tables with CFA fit indices from several lavaan class objects. @@ -60,12 +61,13 @@

    A Function for Creating Publication Quality Tables with CFA fit indices fro This command supports up-to five lavaan models.

    -
    +
    +

    Usage

    cfa.tab.multi(x, y, z = NULL, a = NULL, b = NULL, robust = FALSE)
    -
    -

    Arguments

    +
    +

    Arguments

    x

    first object of class lavaan (Mandatory).

    @@ -90,18 +92,18 @@

    Arguments

    If TRUE, will provide robust fit indices when applicable instead of the default indices.

    -
    -

    Value

    +
    +

    Value

    A summary of CFA fit indices from several lavaan class objects. Output object is a matrix.

    -
    -

    Examples

    +
    +

    Examples

    data <- tabledown::FFMQ.CFA
     FF.model.Original <- "Observe =~ item1 + item6 + item11 + item15 +
    -item20 + item26 + item31 + item 36
    +item20 + item26 + item31 + item36
     Describe =~ item2 + item7 + Ritem12 + Ritem16 + Ritem22 + item27 +
     item32 + item37
     Awareness =~ Ritem5 + Ritem8 + Ritem13 + Ritem18 + Ritem23 + Ritem28 +
    @@ -112,7 +114,7 @@ 

    Examples

    fit.original <- lavaan::cfa(FF.model.Original, data = data, estimator = "MLR", mimic = "Mplus") FF.model.Cor <- "Observe =~ item1 + item6 + item11 + item15 + -item20 + item26 + item31 + item 36 +item20 + item26 + item31 + item36 Describe =~ item2 + item7 + item27 + item32 + item37 Awareness =~ Ritem5 + Ritem8 + Ritem13 + Ritem18 + Ritem23 + Ritem28 + Ritem34 @@ -131,26 +133,22 @@

    Examples

    -
    - -
    +
    -
    +
    - diff --git a/docs/reference/des.tab.html b/docs/reference/des.tab.html index 28a6103..a98570e 100755 --- a/docs/reference/des.tab.html +++ b/docs/reference/des.tab.html @@ -1,65 +1,64 @@ -A Function for Descriptive data for item analysis. — des.tab • tabledownA Function for Descriptive data for item analysis. — des.tab • tabledown + + Skip to contents -
    -
    -
    - + + +
    +
    +
    +
    -
    +

    This function will create a publication ready essential descriptive table for item analysis. Normality is tested using shapiro.test from base stats with Bonferroni Correction.

    -
    +
    +

    Usage

    des.tab(df, reverse = FALSE)
    -
    -

    Arguments

    +
    +

    Arguments

    df

    A data frame.

    @@ -68,39 +67,35 @@

    Arguments

    If TRUE, will provide indicate which items had a negative correlation and reverse them

    -
    -

    Value

    +
    +

    Value

    Returns a summary table of descriptives in a data frame structure.

    -
    -

    Examples

    +
    +

    Examples

    data <- tabledown::Rotter[, 11:31]
     table <- des.tab(data)
     
    -
    - -
    +
    -
    +
    - diff --git a/docs/reference/fac.tab.html b/docs/reference/fac.tab.html index 0c2eb06..e53721a 100755 --- a/docs/reference/fac.tab.html +++ b/docs/reference/fac.tab.html @@ -1,69 +1,70 @@ -A Function for Creating Publication Quality Factor Tables. — fac.tab • tabledownA Function for Creating Publication Quality Factor Tables. — fac.tab • tabledown + + Skip to contents -
    -
    -
    - + + +
    +
    +
    +
    -
    +

    This function will create publication worthy factor tables from objects created from psych pack. I have came across this beautiful piece of codes at https://www.anthonyschmidt.co/post/2020-09-27-efa-tables-in-r/ and modified it a bit.

    -
    +
    +

    Usage

    fac.tab(x, cut, complexity = TRUE)
    -
    -

    Arguments

    +
    +

    Arguments

    x

    A psych package object.

    @@ -76,15 +77,15 @@

    Arguments

    To add complexity parameters.

    -
    -

    Value

    +
    +

    Value

    A publication ready summary table for the Factor analysis conducted by psych Package. Output structure is data frame.

    -
    -

    Examples

    +
    +

    Examples

    data <- tabledown::Rotter[, 11:31]
     correlations <- psych::polychoric(data, correct = 0)
     fa.5F.1 <- psych::fa(r=correlations$rho, nfactors = 5, fm= "pa",rotate ="varimax",
    @@ -94,26 +95,22 @@ 

    Examples

    #always save the output into an object
    -
    - -
    +
    -
    +
    - diff --git a/docs/reference/ggicc.html b/docs/reference/ggicc.html index 00fd507..0d120fc 100644 --- a/docs/reference/ggicc.html +++ b/docs/reference/ggicc.html @@ -1,67 +1,67 @@ -A Function for Creating Publication Quality Item Response Theory based item characteristic plot. — ggicc • tabledownA Function for Creating Publication Quality Item Response Theory based item characteristic plot. — ggicc • tabledown + + Skip to contents -
    -
    -
    - + + +
    +
    +
    +
    -
    +

    This function will create publication worthy Item Response Theory based item characteristic plot using ggplot2 from objects created from mirt pack. Using ggplot2 will enable the user to modify the item characteristic plot.

    -
    +
    +

    Usage

    ggicc(model, item, theta)
    -
    -

    Arguments

    +
    +

    Arguments

    model

    A mirt package fitted object.

    @@ -74,15 +74,15 @@

    Arguments

    Theta range. Put only one number. Theta =3 will be considered as theta range (-3 to 3).

    -
    -

    Value

    +
    +

    Value

    A publication quality item characteristic plot. Output object is a ggplot object.

    -
    -

    Examples

    +
    +

    Examples

    data <- tabledown::Rotter[, 11:31]
     model <- mirt::mirt(data, model = 1, itemtype = '2PL', SE = TRUE, Se.type = 'MHRM')
     #> 
    Iteration: 1, Log-Lik: -5444.747, Max-Change: 0.56424
    Iteration: 2, Log-Lik: -5374.008, Max-Change: 0.30858
    Iteration: 3, Log-Lik: -5357.722, Max-Change: 0.17532
    Iteration: 4, Log-Lik: -5353.406, Max-Change: 0.09162
    Iteration: 5, Log-Lik: -5352.045, Max-Change: 0.06068
    Iteration: 6, Log-Lik: -5351.603, Max-Change: 0.03828
    Iteration: 7, Log-Lik: -5351.412, Max-Change: 0.01627
    Iteration: 8, Log-Lik: -5351.383, Max-Change: 0.01187
    Iteration: 9, Log-Lik: -5351.371, Max-Change: 0.00751
    Iteration: 10, Log-Lik: -5351.365, Max-Change: 0.00390
    Iteration: 11, Log-Lik: -5351.364, Max-Change: 0.00344
    Iteration: 12, Log-Lik: -5351.363, Max-Change: 0.00026
    Iteration: 13, Log-Lik: -5351.363, Max-Change: 0.00024
    Iteration: 14, Log-Lik: -5351.363, Max-Change: 0.00109
    Iteration: 15, Log-Lik: -5351.363, Max-Change: 0.00081
    Iteration: 16, Log-Lik: -5351.363, Max-Change: 0.00031
    Iteration: 17, Log-Lik: -5351.363, Max-Change: 0.00011
    Iteration: 18, Log-Lik: -5351.363, Max-Change: 0.00054
    Iteration: 19, Log-Lik: -5351.363, Max-Change: 0.00012
    Iteration: 20, Log-Lik: -5351.363, Max-Change: 0.00035
    Iteration: 21, Log-Lik: -5351.363, Max-Change: 0.00010
    @@ -92,26 +92,22 @@ 

    Examples

    plot <- tabledown::ggicc(model, 1, 3)
    -
    - -
    +
    -
    +
    - diff --git a/docs/reference/ggiteminfo.html b/docs/reference/ggiteminfo.html index bc4bd8b..626c8cf 100755 --- a/docs/reference/ggiteminfo.html +++ b/docs/reference/ggiteminfo.html @@ -1,65 +1,64 @@ -A Function for Creating Publication Quality Item Response Theory based item information plot. — ggiteminfo • tabledownA Function for Creating Publication Quality Item Response Theory based item information plot. — ggiteminfo • tabledown + + Skip to contents -
    -
    -
    - + + +
    +
    +
    +
    -
    +

    This function will create publication worthy Item Response Theory based item information plot. using ggplot2 from objects created from mirt pack.

    -
    +
    +

    Usage

    ggiteminfo(model, item, theta)
    -
    -

    Arguments

    +
    +

    Arguments

    model

    A mirt package fitted object.

    @@ -72,15 +71,15 @@

    Arguments

    Theta range. Put only one number. Theta =3 will be considered as theta range (-3 to 3).

    -
    -

    Value

    +
    +

    Value

    A publication quality item information plot.Output object is a ggplot object.

    -
    -

    Examples

    +
    +

    Examples

    data <- tabledown::Rotter[, 11:31]
     model <- mirt::mirt(data, model = 1, itemtype = '2PL')
     #> 
    Iteration: 1, Log-Lik: -5444.747, Max-Change: 0.56424
    Iteration: 2, Log-Lik: -5374.008, Max-Change: 0.30858
    Iteration: 3, Log-Lik: -5357.722, Max-Change: 0.17532
    Iteration: 4, Log-Lik: -5353.406, Max-Change: 0.09162
    Iteration: 5, Log-Lik: -5352.045, Max-Change: 0.06068
    Iteration: 6, Log-Lik: -5351.603, Max-Change: 0.03828
    Iteration: 7, Log-Lik: -5351.412, Max-Change: 0.01627
    Iteration: 8, Log-Lik: -5351.383, Max-Change: 0.01187
    Iteration: 9, Log-Lik: -5351.371, Max-Change: 0.00751
    Iteration: 10, Log-Lik: -5351.365, Max-Change: 0.00390
    Iteration: 11, Log-Lik: -5351.364, Max-Change: 0.00344
    Iteration: 12, Log-Lik: -5351.363, Max-Change: 0.00026
    Iteration: 13, Log-Lik: -5351.363, Max-Change: 0.00024
    Iteration: 14, Log-Lik: -5351.363, Max-Change: 0.00109
    Iteration: 15, Log-Lik: -5351.363, Max-Change: 0.00081
    Iteration: 16, Log-Lik: -5351.363, Max-Change: 0.00031
    Iteration: 17, Log-Lik: -5351.363, Max-Change: 0.00011
    Iteration: 18, Log-Lik: -5351.363, Max-Change: 0.00054
    Iteration: 19, Log-Lik: -5351.363, Max-Change: 0.00012
    Iteration: 20, Log-Lik: -5351.363, Max-Change: 0.00035
    Iteration: 21, Log-Lik: -5351.363, Max-Change: 0.00010
    @@ -88,26 +87,22 @@ 

    Examples

    plot <- ggiteminfo(model, 1, 3)
    -
    - -
    +
    -
    +
    - diff --git a/docs/reference/ggreliability.html b/docs/reference/ggreliability.html index 2bf175d..b566c08 100644 --- a/docs/reference/ggreliability.html +++ b/docs/reference/ggreliability.html @@ -1,67 +1,67 @@ -A Function for Creating Publication Quality Item Response Theory based reliability plot. — ggreliability • tabledownA Function for Creating Publication Quality Item Response Theory based reliability plot. — ggreliability • tabledown + + Skip to contents -
    -
    -
    - + + +
    +
    +
    +
    -
    +

    This function will create publication worthy Item Response Theory based based reliability plot with standard error using ggplot2 from objects created from mirt pack. Using ggplot2 will enable the user to modify the Item plot.

    -
    +
    +

    Usage

    ggreliability(dataframe, model)
    -
    -

    Arguments

    +
    +

    Arguments

    dataframe

    your data.

    @@ -70,15 +70,15 @@

    Arguments

    A mirt package fitted object.

    -
    -

    Value

    +
    +

    Value

    A publication quality reliability plot (dashed line). Output object is a ggplot object.

    -
    -

    Examples

    +
    +

    Examples

    data <- tabledown::Rotter[, 11:31]
     model <- mirt::mirt(data, model = 1, itemtype = '2PL')
     #> 
    Iteration: 1, Log-Lik: -5444.747, Max-Change: 0.56424
    Iteration: 2, Log-Lik: -5374.008, Max-Change: 0.30858
    Iteration: 3, Log-Lik: -5357.722, Max-Change: 0.17532
    Iteration: 4, Log-Lik: -5353.406, Max-Change: 0.09162
    Iteration: 5, Log-Lik: -5352.045, Max-Change: 0.06068
    Iteration: 6, Log-Lik: -5351.603, Max-Change: 0.03828
    Iteration: 7, Log-Lik: -5351.412, Max-Change: 0.01627
    Iteration: 8, Log-Lik: -5351.383, Max-Change: 0.01187
    Iteration: 9, Log-Lik: -5351.371, Max-Change: 0.00751
    Iteration: 10, Log-Lik: -5351.365, Max-Change: 0.00390
    Iteration: 11, Log-Lik: -5351.364, Max-Change: 0.00344
    Iteration: 12, Log-Lik: -5351.363, Max-Change: 0.00026
    Iteration: 13, Log-Lik: -5351.363, Max-Change: 0.00024
    Iteration: 14, Log-Lik: -5351.363, Max-Change: 0.00109
    Iteration: 15, Log-Lik: -5351.363, Max-Change: 0.00081
    Iteration: 16, Log-Lik: -5351.363, Max-Change: 0.00031
    Iteration: 17, Log-Lik: -5351.363, Max-Change: 0.00011
    Iteration: 18, Log-Lik: -5351.363, Max-Change: 0.00054
    Iteration: 19, Log-Lik: -5351.363, Max-Change: 0.00012
    Iteration: 20, Log-Lik: -5351.363, Max-Change: 0.00035
    Iteration: 21, Log-Lik: -5351.363, Max-Change: 0.00010
    @@ -86,26 +86,22 @@ 

    Examples

    plot <- ggreliability(data, model)
    -
    - -
    +
    -
    +
    - diff --git a/docs/reference/ggreliability_plotly.html b/docs/reference/ggreliability_plotly.html index 7d603d0..c8ec0a3 100644 --- a/docs/reference/ggreliability_plotly.html +++ b/docs/reference/ggreliability_plotly.html @@ -1,67 +1,67 @@ -A Function for Creating Item Response Theory based reliability plot based on plotly. — ggreliability_plotly • tabledownA Function for Creating Item Response Theory based reliability plot based on plotly. — ggreliability_plotly • tabledown + + Skip to contents -
    -
    -
    - + + +
    +
    +
    +
    -
    +

    This function will create Item Response Theory based based reliability plot with standard error using ggplot2 and plotly from objects created from mirt pack. Using ggplot2 will enable the user to modify the Item plot.

    -
    +
    +

    Usage

    ggreliability_plotly(dataframe, model)
    -
    -

    Arguments

    +
    +

    Arguments

    dataframe

    your data.

    @@ -70,15 +70,15 @@

    Arguments

    A mirt package fitted object.

    -
    -

    Value

    +
    +

    Value

    A publication quality reliability plot (dashed line). Output object is a ggplot object.

    -
    -

    Examples

    +
    +

    Examples

    data <- tabledown::Rotter[, 11:31]
     model <- mirt::mirt(data, model = 1, itemtype = '2PL')
     #> 
    Iteration: 1, Log-Lik: -5444.747, Max-Change: 0.56424
    Iteration: 2, Log-Lik: -5374.008, Max-Change: 0.30858
    Iteration: 3, Log-Lik: -5357.722, Max-Change: 0.17532
    Iteration: 4, Log-Lik: -5353.406, Max-Change: 0.09162
    Iteration: 5, Log-Lik: -5352.045, Max-Change: 0.06068
    Iteration: 6, Log-Lik: -5351.603, Max-Change: 0.03828
    Iteration: 7, Log-Lik: -5351.412, Max-Change: 0.01627
    Iteration: 8, Log-Lik: -5351.383, Max-Change: 0.01187
    Iteration: 9, Log-Lik: -5351.371, Max-Change: 0.00751
    Iteration: 10, Log-Lik: -5351.365, Max-Change: 0.00390
    Iteration: 11, Log-Lik: -5351.364, Max-Change: 0.00344
    Iteration: 12, Log-Lik: -5351.363, Max-Change: 0.00026
    Iteration: 13, Log-Lik: -5351.363, Max-Change: 0.00024
    Iteration: 14, Log-Lik: -5351.363, Max-Change: 0.00109
    Iteration: 15, Log-Lik: -5351.363, Max-Change: 0.00081
    Iteration: 16, Log-Lik: -5351.363, Max-Change: 0.00031
    Iteration: 17, Log-Lik: -5351.363, Max-Change: 0.00011
    Iteration: 18, Log-Lik: -5351.363, Max-Change: 0.00054
    Iteration: 19, Log-Lik: -5351.363, Max-Change: 0.00012
    Iteration: 20, Log-Lik: -5351.363, Max-Change: 0.00035
    Iteration: 21, Log-Lik: -5351.363, Max-Change: 0.00010
    @@ -86,26 +86,22 @@ 

    Examples

    plot <- ggreliability_plotly(data, model)
    -
    - -
    +
    -
    +
    - diff --git a/docs/reference/ggtestinfo.html b/docs/reference/ggtestinfo.html index b706bc5..59b2dc4 100755 --- a/docs/reference/ggtestinfo.html +++ b/docs/reference/ggtestinfo.html @@ -1,67 +1,67 @@ -A Function for Creating Publication Quality Item Response Theory based test information plot. — ggtestinfo • tabledownA Function for Creating Publication Quality Item Response Theory based test information plot. — ggtestinfo • tabledown + + Skip to contents -
    -
    -
    - + + +
    +
    +
    +
    -
    +

    This function will create publication worthy Item Response Theory based Test information plot using ggplot2 from objects created from mirt pack. Using ggplot2 will enable the user to modify the Item plot.

    -
    +
    +

    Usage

    ggtestinfo(dataframe, model)
    -
    -

    Arguments

    +
    +

    Arguments

    dataframe

    your data.

    @@ -70,15 +70,15 @@

    Arguments

    A mirt package fitted object.

    -
    -

    Value

    +
    +

    Value

    A publication quality Test information plot. Output object is a ggplot object.

    -
    -

    Examples

    +
    +

    Examples

    data <- tabledown::Rotter[, 11:31]
     model <- mirt::mirt(data, model = 1, itemtype = '2PL')
     #> 
    Iteration: 1, Log-Lik: -5444.747, Max-Change: 0.56424
    Iteration: 2, Log-Lik: -5374.008, Max-Change: 0.30858
    Iteration: 3, Log-Lik: -5357.722, Max-Change: 0.17532
    Iteration: 4, Log-Lik: -5353.406, Max-Change: 0.09162
    Iteration: 5, Log-Lik: -5352.045, Max-Change: 0.06068
    Iteration: 6, Log-Lik: -5351.603, Max-Change: 0.03828
    Iteration: 7, Log-Lik: -5351.412, Max-Change: 0.01627
    Iteration: 8, Log-Lik: -5351.383, Max-Change: 0.01187
    Iteration: 9, Log-Lik: -5351.371, Max-Change: 0.00751
    Iteration: 10, Log-Lik: -5351.365, Max-Change: 0.00390
    Iteration: 11, Log-Lik: -5351.364, Max-Change: 0.00344
    Iteration: 12, Log-Lik: -5351.363, Max-Change: 0.00026
    Iteration: 13, Log-Lik: -5351.363, Max-Change: 0.00024
    Iteration: 14, Log-Lik: -5351.363, Max-Change: 0.00109
    Iteration: 15, Log-Lik: -5351.363, Max-Change: 0.00081
    Iteration: 16, Log-Lik: -5351.363, Max-Change: 0.00031
    Iteration: 17, Log-Lik: -5351.363, Max-Change: 0.00011
    Iteration: 18, Log-Lik: -5351.363, Max-Change: 0.00054
    Iteration: 19, Log-Lik: -5351.363, Max-Change: 0.00012
    Iteration: 20, Log-Lik: -5351.363, Max-Change: 0.00035
    Iteration: 21, Log-Lik: -5351.363, Max-Change: 0.00010
    @@ -86,26 +86,22 @@ 

    Examples

    plot <- ggtestinfo(data, model)
    -
    - -
    +
    -
    +
    - diff --git a/docs/reference/ggtestinfo_se.html b/docs/reference/ggtestinfo_se.html index 5dcab7d..c6f5cf9 100644 --- a/docs/reference/ggtestinfo_se.html +++ b/docs/reference/ggtestinfo_se.html @@ -1,67 +1,67 @@ -A Function for Creating Publication Quality Item Response Theory based test information plot with standard error. — ggtestinfo_se • tabledownA Function for Creating Publication Quality Item Response Theory based test information plot with standard error. — ggtestinfo_se • tabledown + + Skip to contents -
    -
    -
    - + + +
    +
    +
    +
    -
    +

    This function will create publication worthy Item Response Theory based Test information plot with standard error using ggplot2 from objects created from mirt pack. Using ggplot2 will enable the user to modify the Item plot.

    -
    +
    +

    Usage

    ggtestinfo_se(dataframe, model)
    -
    -

    Arguments

    +
    +

    Arguments

    dataframe

    your data.

    @@ -70,15 +70,15 @@

    Arguments

    A mirt package fitted object.

    -
    -

    Value

    +
    +

    Value

    A publication quality Test information plot with standard error (dashed line). Output object is a ggplot object.

    -
    -

    Examples

    +
    +

    Examples

    data <- tabledown::Rotter[, 11:31]
     model <- mirt::mirt(data, model = 1, itemtype = '2PL')
     #> 
    Iteration: 1, Log-Lik: -5444.747, Max-Change: 0.56424
    Iteration: 2, Log-Lik: -5374.008, Max-Change: 0.30858
    Iteration: 3, Log-Lik: -5357.722, Max-Change: 0.17532
    Iteration: 4, Log-Lik: -5353.406, Max-Change: 0.09162
    Iteration: 5, Log-Lik: -5352.045, Max-Change: 0.06068
    Iteration: 6, Log-Lik: -5351.603, Max-Change: 0.03828
    Iteration: 7, Log-Lik: -5351.412, Max-Change: 0.01627
    Iteration: 8, Log-Lik: -5351.383, Max-Change: 0.01187
    Iteration: 9, Log-Lik: -5351.371, Max-Change: 0.00751
    Iteration: 10, Log-Lik: -5351.365, Max-Change: 0.00390
    Iteration: 11, Log-Lik: -5351.364, Max-Change: 0.00344
    Iteration: 12, Log-Lik: -5351.363, Max-Change: 0.00026
    Iteration: 13, Log-Lik: -5351.363, Max-Change: 0.00024
    Iteration: 14, Log-Lik: -5351.363, Max-Change: 0.00109
    Iteration: 15, Log-Lik: -5351.363, Max-Change: 0.00081
    Iteration: 16, Log-Lik: -5351.363, Max-Change: 0.00031
    Iteration: 17, Log-Lik: -5351.363, Max-Change: 0.00011
    Iteration: 18, Log-Lik: -5351.363, Max-Change: 0.00054
    Iteration: 19, Log-Lik: -5351.363, Max-Change: 0.00012
    Iteration: 20, Log-Lik: -5351.363, Max-Change: 0.00035
    Iteration: 21, Log-Lik: -5351.363, Max-Change: 0.00010
    @@ -86,26 +86,22 @@ 

    Examples

    plot <- ggtestinfo(data, model)
    -
    - -
    +
    -
    +
    - diff --git a/docs/reference/ggtestinfo_se_ploty.html b/docs/reference/ggtestinfo_se_ploty.html index a6877a8..ec28da6 100644 --- a/docs/reference/ggtestinfo_se_ploty.html +++ b/docs/reference/ggtestinfo_se_ploty.html @@ -1,67 +1,67 @@ -A Function for Creating Item Response Theory based test information plot with standard error with plotly. — ggtestinfo_se_ploty • tabledownA Function for Creating Item Response Theory based test information plot with standard error with plotly. — ggtestinfo_se_ploty • tabledown + + Skip to contents -
    -
    -
    - + + +
    +
    +
    +
    -
    +

    This function will create Item Response Theory based Test information plot with standard error using ggplot2 and plotly from objects created from mirt pack. Using ggplot2 will enable the user to modify the Item plot.

    -
    +
    +

    Usage

    ggtestinfo_se_ploty(dataframe, model)
    -
    -

    Arguments

    +
    +

    Arguments

    dataframe

    your data.

    @@ -70,41 +70,37 @@

    Arguments

    A mirt package fitted object.

    -
    -

    Value

    +
    +

    Value

    A publication quality Test information plot with standard error (dashed line). Output object is a ggplot object.

    -
    -

    Examples

    +
    +

    Examples

    data <- tabledown::Rotter[, 11:31]
     model <- mirt::mirt(data, model = 1, itemtype = '2PL')
     #> 
    Iteration: 1, Log-Lik: -5444.747, Max-Change: 0.56424
    Iteration: 2, Log-Lik: -5374.008, Max-Change: 0.30858
    Iteration: 3, Log-Lik: -5357.722, Max-Change: 0.17532
    Iteration: 4, Log-Lik: -5353.406, Max-Change: 0.09162
    Iteration: 5, Log-Lik: -5352.045, Max-Change: 0.06068
    Iteration: 6, Log-Lik: -5351.603, Max-Change: 0.03828
    Iteration: 7, Log-Lik: -5351.412, Max-Change: 0.01627
    Iteration: 8, Log-Lik: -5351.383, Max-Change: 0.01187
    Iteration: 9, Log-Lik: -5351.371, Max-Change: 0.00751
    Iteration: 10, Log-Lik: -5351.365, Max-Change: 0.00390
    Iteration: 11, Log-Lik: -5351.364, Max-Change: 0.00344
    Iteration: 12, Log-Lik: -5351.363, Max-Change: 0.00026
    Iteration: 13, Log-Lik: -5351.363, Max-Change: 0.00024
    Iteration: 14, Log-Lik: -5351.363, Max-Change: 0.00109
    Iteration: 15, Log-Lik: -5351.363, Max-Change: 0.00081
    Iteration: 16, Log-Lik: -5351.363, Max-Change: 0.00031
    Iteration: 17, Log-Lik: -5351.363, Max-Change: 0.00011
    Iteration: 18, Log-Lik: -5351.363, Max-Change: 0.00054
    Iteration: 19, Log-Lik: -5351.363, Max-Change: 0.00012
    Iteration: 20, Log-Lik: -5351.363, Max-Change: 0.00035
    Iteration: 21, Log-Lik: -5351.363, Max-Change: 0.00010
     plot <- ggtestinfo_se_ploty(data, model)
     
    -
    - -
    +
    -
    +
    - diff --git a/docs/reference/gt_tab.html b/docs/reference/gt_tab.html index 20a0175..7c3b76a 100644 --- a/docs/reference/gt_tab.html +++ b/docs/reference/gt_tab.html @@ -1,65 +1,64 @@ -A Function for gtExtra package friendly data summary. — gt_tab • tabledownA Function for gtExtra package friendly data summary. — gt_tab • tabledown + + Skip to contents -
    -
    -
    - + + +
    +
    +
    +
    -
    +

    This function will gtExtra package friendly data summary using the datafrmae provided psych pack.

    -
    +
    +

    Usage

    gt_tab(dataframe, recode_code)
    -
    -

    Arguments

    +
    +

    Arguments

    dataframe

    Dataframe with all items.

    @@ -68,41 +67,37 @@

    Arguments

    Recode key

    -
    -

    Value

    +
    +

    Value

    A publication ready descriptive summary table in png format.

    -
    -

    Examples

    +
    +

    Examples

    data <- tabledown::FFMQ.CFA[, c(9,10,12,14)]
     recode_code <- c( "1" = "Never or very rarely true", "2" = "Rarely true",
     "3"= "Sometimes true","4" = "Often true","5" = "Very often or always true")
     sample_tab <- gt_tab(data,recode_code)
     
    -
    - -
    +
    -
    +
    - diff --git a/docs/reference/index.html b/docs/reference/index.html index 64b8be8..09bb3eb 100755 --- a/docs/reference/index.html +++ b/docs/reference/index.html @@ -1,156 +1,175 @@ -Function reference • tabledownFunction reference • tabledown + + Skip to contents -
    -
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    +
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    +
    +

    All functions

    + -
    -
    - + +
    + + + - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -

    All functions

    -

    -
    -

    FFMQ.CFA

    -

    Structural Validity data of FFMQ

    -

    FFMQ.Val

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    Correlational based Valididity evidence of FFMQ

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    Gantt

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    Gantt Data

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    Rotter

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    Validation Data of Bangla Rotter I-E Scale

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    Spot

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    Spot Data

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    bedTime()

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    A Function for calculating time spent in bed.

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    cfa.tab()

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    A Function for Creating Publication Quality Tables with CFA fit indices.

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    cfa.tab.multi()

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    A Function for Creating Publication Quality Tables with CFA fit indices from several lavaan objects.

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    des.tab()

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    A Function for Descriptive data for item analysis.

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    fac.tab()

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    A Function for Creating Publication Quality Factor Tables.

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    ggicc()

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    A Function for Creating Publication Quality Item Response Theory based item characteristic plot.

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    ggiteminfo()

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    A Function for Creating Publication Quality Item Response Theory based item information plot.

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    ggreliability()

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    A Function for Creating Publication Quality Item Response Theory based reliability plot.

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    ggreliability_plotly()

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    A Function for Creating Item Response Theory based reliability plot based on plotly.

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    ggtestinfo()

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    A Function for Creating Publication Quality Item Response Theory based test information plot.

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    ggtestinfo_se()

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    A Function for Creating Publication Quality Item Response Theory based test information plot with standard error.

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    ggtestinfo_se_ploty()

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    A Function for Creating Item Response Theory based test information plot with standard error with plotly.

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    gt_tab()

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    A Function for gtExtra package friendly data summary.

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    normality.loop()

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    A Function for computing univariate normality test on data frame.

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    tabledown

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    Produce Publication Quality Tables and Plots

    - - -
    +
    + + FFMQ.CFA +
    +
    Structural Validity data of FFMQ
    +
    + + FFMQ.Val +
    +
    Correlational based Valididity evidence of FFMQ
    +
    + + Gantt +
    +
    Gantt Data
    +
    + + Rotter +
    +
    Validation Data of Bangla Rotter I-E Scale
    +
    + + Spot +
    +
    Spot Data
    +
    + + bedTime() +
    +
    A Function for calculating time spent in bed.
    +
    + + cfa.tab() +
    +
    A Function for Creating Publication Quality Tables with CFA fit indices.
    +
    + + cfa.tab.multi() +
    +
    A Function for Creating Publication Quality Tables with CFA fit indices from several lavaan objects.
    +
    + + des.tab() +
    +
    A Function for Descriptive data for item analysis.
    +
    + + fac.tab() +
    +
    A Function for Creating Publication Quality Factor Tables.
    +
    + + ggicc() +
    +
    A Function for Creating Publication Quality Item Response Theory based item characteristic plot.
    +
    + + ggiteminfo() +
    +
    A Function for Creating Publication Quality Item Response Theory based item information plot.
    +
    + + ggreliability() +
    +
    A Function for Creating Publication Quality Item Response Theory based reliability plot.
    +
    + + ggreliability_plotly() +
    +
    A Function for Creating Item Response Theory based reliability plot based on plotly.
    +
    + + ggtestinfo() +
    +
    A Function for Creating Publication Quality Item Response Theory based test information plot.
    +
    + + ggtestinfo_se() +
    +
    A Function for Creating Publication Quality Item Response Theory based test information plot with standard error.
    +
    + + ggtestinfo_se_ploty() +
    +
    A Function for Creating Item Response Theory based test information plot with standard error with plotly.
    +
    + + gt_tab() +
    +
    A Function for gtExtra package friendly data summary.
    +
    + + normality.loop() +
    +
    A Function for computing univariate normality test on data frame.
    +
    + + tabledown +
    +
    Produce Publication Quality Tables and Plots
    +
    +
    -
    +
    - diff --git a/docs/reference/normality.loop.html b/docs/reference/normality.loop.html index 69b2433..57bbb77 100755 --- a/docs/reference/normality.loop.html +++ b/docs/reference/normality.loop.html @@ -1,67 +1,67 @@ -A Function for computing univariate normality test on data frame. — normality.loop • tabledownA Function for computing univariate normality test on data frame. — normality.loop • tabledown + + Skip to contents -
    -
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    +
    +
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    -
    +

    This function will compute normality on entire data set. Sometime in dlookr package p values turns out to be null thus failing to test normality of the data set. This is a good alternative of dlookr function. Here normality is tested using shapiro.test from base stats.

    -
    +
    +

    Usage

    normality.loop(df, bonf = TRUE, alpha = 0.05)
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    Arguments

    +
    +

    Arguments

    df

    A data frame.

    @@ -74,15 +74,15 @@

    Arguments

    Desired alpha.

    -
    -

    Value

    +
    +

    Value

    Provides normality tests results for all columns in a wide data frame in a list format.

    -
    -

    Examples

    +
    +

    Examples

    data <- tabledown::Rotter[, 11:31]
     normality.loop(data)
     #> $statistic
    @@ -114,26 +114,22 @@ 

    Examples

    #>
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    - diff --git a/docs/reference/pipe.html b/docs/reference/pipe.html index f9e4669..04d6aea 100755 --- a/docs/reference/pipe.html +++ b/docs/reference/pipe.html @@ -1,63 +1,61 @@ -Pipe operator — %>% • tabledownPipe operator — %>% • tabledown + + Skip to contents -
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    See magrittr::%>% for details.

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    +
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    Usage

    lhs %>% rhs
    -
    -

    Arguments

    +
    +

    Arguments

    lhs

    A value or the magrittr placeholder.

    @@ -66,33 +64,29 @@

    Arguments

    A function call using the magrittr semantics.

    -
    -

    Value

    +
    +

    Value

    The result of calling rhs(lhs).

    -
    - -
    +
    -
    +
    - diff --git a/docs/reference/tabledown.html b/docs/reference/tabledown.html index 12bc036..5925419 100755 --- a/docs/reference/tabledown.html +++ b/docs/reference/tabledown.html @@ -1,60 +1,57 @@ -Produce Publication Quality Tables and Plots — tabledown • tabledownProduce Publication Quality Tables and Plots — tabledown • tabledown + + Skip to contents -
    -
    -
    - + + +
    +
    +
    +
    -
    +

    The tabledown package provides necessary data frames used throughout the book and some neat functions.

    -
    -

    tabledown Data-frames

    +
    +

    tabledown Data-frames

    1. Rotter: Psychometric validation data of Bangla Rotter's Internal- External Scale.

    2. @@ -62,8 +59,8 @@

      tabledown Data-frames

    3. FFMQ.CFA: Structural Validation data of Bangla Five Factor Mindfulness Questionnaire.

    4. FFMQ.Val:Correlational Validity evidences of Bangla Five Factor Mindfulness Questionnaire.

    -
    -

    tabledown functions

    +
    +

    tabledown functions

    This packages includes some neat and useful functions to create tables and figures suitable for journal submission:

    1. fac.tab(): Creates a publication ready table from the output of "psych" package based factor analysis.

    2. @@ -79,26 +76,22 @@

      tabledown functions

      It is advisable that you load tidyverse along with tabledown

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    - diff --git a/docs/sitemap.xml b/docs/sitemap.xml index 379f3f7..32f8667 100644 --- a/docs/sitemap.xml +++ b/docs/sitemap.xml @@ -1,108 +1,108 @@ - /404.html + https://masiraji.github.io/tabledown/404.html - /LICENSE-text.html + https://masiraji.github.io/tabledown/LICENSE-text.html - /LICENSE.html + https://masiraji.github.io/tabledown/LICENSE.html - /THANKS.html + https://masiraji.github.io/tabledown/THANKS.html - /articles/Functions.html + https://masiraji.github.io/tabledown/articles/Functions.html - /articles/Package Functions.html + https://masiraji.github.io/tabledown/articles/Package Functions.html - /articles/index.html + https://masiraji.github.io/tabledown/articles/index.html - /articles/my-vignette.html + https://masiraji.github.io/tabledown/articles/my-vignette.html - /articles/package_intro.html + https://masiraji.github.io/tabledown/articles/package_intro.html - /authors.html + https://masiraji.github.io/tabledown/authors.html - /index.html + https://masiraji.github.io/tabledown/index.html - /news/index.html + https://masiraji.github.io/tabledown/news/index.html - /reference/FFMQ.CFA.html + https://masiraji.github.io/tabledown/reference/FFMQ.CFA.html - /reference/FFMQ.Val.html + https://masiraji.github.io/tabledown/reference/FFMQ.Val.html - /reference/Gantt.html + https://masiraji.github.io/tabledown/reference/Gantt.html - /reference/Rotter.html + https://masiraji.github.io/tabledown/reference/Rotter.html - /reference/Spot.html + https://masiraji.github.io/tabledown/reference/Spot.html - /reference/baap.html + https://masiraji.github.io/tabledown/reference/baap.html - /reference/bedTime.html + https://masiraji.github.io/tabledown/reference/bedTime.html - /reference/cfa.tab.html + https://masiraji.github.io/tabledown/reference/cfa.tab.html - /reference/cfa.tab.multi.html + https://masiraji.github.io/tabledown/reference/cfa.tab.multi.html - /reference/des.tab.html + https://masiraji.github.io/tabledown/reference/des.tab.html - /reference/fac.tab.html + https://masiraji.github.io/tabledown/reference/fac.tab.html - /reference/ggicc.html + https://masiraji.github.io/tabledown/reference/ggicc.html - /reference/ggiteminfo.html + https://masiraji.github.io/tabledown/reference/ggiteminfo.html - /reference/ggreliability.html + https://masiraji.github.io/tabledown/reference/ggreliability.html - /reference/ggreliability_plotly.html + https://masiraji.github.io/tabledown/reference/ggreliability_plotly.html - /reference/ggtestinfo.html + https://masiraji.github.io/tabledown/reference/ggtestinfo.html - /reference/ggtestinfo_se.html + https://masiraji.github.io/tabledown/reference/ggtestinfo_se.html - /reference/ggtestinfo_se_ploty.html + https://masiraji.github.io/tabledown/reference/ggtestinfo_se_ploty.html - /reference/gt_tab.html + https://masiraji.github.io/tabledown/reference/gt_tab.html - /reference/index.html + https://masiraji.github.io/tabledown/reference/index.html - /reference/normality.loop.html + https://masiraji.github.io/tabledown/reference/normality.loop.html - /reference/pipe.html + https://masiraji.github.io/tabledown/reference/pipe.html - /reference/tabledown.html + https://masiraji.github.io/tabledown/reference/tabledown.html diff --git a/inst/WORDLIST b/inst/WORDLIST index 84a0a91..ccdfa9c 100755 --- a/inst/WORDLIST +++ b/inst/WORDLIST @@ -1,27 +1,49 @@ +APA Bangla +Bonferroni CEA CFA CMD +Dev EFA FFMQ GanTT Gantt Github +IIC Lifecycle Psychometrics +Recode Rotter's -Stak -Ture +Uncategorized Valididity anthonyschmidt bedTime bonferonni cfa +datafrmae des +descriptives +dev dlookr efa fac +ggicc +ggiteminfo +ggplot +ggtestinfo +gtExtra https lavaan +magrittr +masiraji +metacran +mirt +plotly +png +psychometrics +se +shapiro tidyverse +unidimensional www