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| Original file line number | Diff line number | Diff line change |
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| @@ -1,56 +1,41 @@ | ||
| # History files | ||
| .Rhistory | ||
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| # Example code in package build process | ||
| *-Ex.R | ||
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| # R data files from past sessions | ||
| .Rdata | ||
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| # ========================= | ||
| # Operating System Files | ||
| # ========================= | ||
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| # OSX | ||
| # ========================= | ||
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| # History files | ||
| .Rhistory | ||
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| # Example code in package build process | ||
| *-Ex.R | ||
| # R data files from past sessions | ||
| .Rdata | ||
| # ========================= | ||
| # Operating System Files | ||
| # OSX | ||
| .DS_Store | ||
| .AppleDouble | ||
| .LSOverride | ||
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| # Icon must end with two \r | ||
| Icon | ||
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| Icon | ||
| # Thumbnails | ||
| ._* | ||
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| # Files that might appear on external disk | ||
| .Spotlight-V100 | ||
| .Trashes | ||
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| # Directories potentially created on remote AFP share | ||
| .AppleDB | ||
| .AppleDesktop | ||
| Network Trash Folder | ||
| Temporary Items | ||
| .apdisk | ||
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| # Windows | ||
| # ========================= | ||
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| # Windows image file caches | ||
| Thumbs.db | ||
| ehthumbs.db | ||
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| # Folder config file | ||
| Desktop.ini | ||
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| # Recycle Bin used on file shares | ||
| $RECYCLE.BIN/ | ||
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| # Windows Installer files | ||
| *.cab | ||
| *.msi | ||
| *.msm | ||
| *.msp | ||
| .Rproj.user | ||
| # Windows | ||
| # Windows image file caches | ||
| Thumbs.db | ||
| ehthumbs.db | ||
| # Folder config file | ||
| Desktop.ini | ||
| # Recycle Bin used on file shares | ||
| $RECYCLE.BIN/ | ||
| # Windows Installer files | ||
| *.cab | ||
| *.msi | ||
| *.msm | ||
| *.msp | ||
| .Rproj.user | ||
| inst/doc |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,120 +1,124 @@ | ||
| # sjmisc 2.3.0 | ||
|
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||
| ## New functions | ||
|
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||
| * `center()` and `std()` are moving from package `sjstats` to `sjmisc`. | ||
| * `add_columns()` to bind columns of first data frame at the end of all data frames. | ||
|
|
||
| ## Changes to functions | ||
|
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||
| * `frq()` now has the same argument-structure as `flat_table()`. | ||
| * Following functions now follow a consistent tidyverse-approach, with the data being the first argument, followed by variable names: `add_labels()`, `replace_labels()`, `remove_labels()`, `count_na()`, `rec()`, `dicho()`, `split_var()`, `drop_labels()`, `fill_labels()`, `group_var()`, `group_labels()`, `ref_lvl()`, `recode_to()`, `replace_na()`, `set_na()` and `set_labels()`.. | ||
|
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| # sjmisc 2.2.1 | ||
|
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| ## Bug fixes | ||
|
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||
| * The `sort.frq` did not work `frq()`. | ||
|
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||
| # sjmisc 2.2.0 | ||
|
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||
| ## New functions | ||
|
|
||
| * `zap_inf()` to "clean" vectors from `NaN` and infinite values. | ||
| * `descr()` to provide basic descriptive statistics (similar to `describe()` in the psych-package), but including variable labels and usable in pipe-workflows. Also works with grouped data frames. | ||
|
|
||
| ## Changes to functions | ||
|
|
||
| * `rec()`, `split_var()` and `dicho()` get an argument `suffix`, to append a suffix to variable (column) names, if applied on a data frame. | ||
| * Value labels in `rec()` can now directly be assigned inside the `recodes`-syntax (see 'Details' in `?rec`). | ||
| * `find_var()` gets a `as.df`-argument, to return a data frame with matching variables, instead of their column indices only. | ||
| * `find_var()` gets a `as.varlab`-argument, to return a "summary" data frame with column number, variable name and variable label. | ||
| * `flat_table()` now also accepts grouped data frames. | ||
| * `flat_table()` gets a `show.values`-argument, to add values to associated labels in output. | ||
| * `frq()` now also accepts grouped data frames. | ||
| * `frq()` gets a `weight.by`-argument to weight frequencies. | ||
| * `set_na()` can now also find values by their value labels and replace them with NA. | ||
| * `set_na()` now removes unused value labels from values that have been replaced with NA. | ||
| * The `as.tag`-argument in `set_na()` now defaults to `FALSE`. | ||
| * `get_labels()` now always returns labels in sorted order of the associated values. | ||
| * `get_labels()` gets a `drop.unused`-argument, to automatically drop labels from values that don't occur in the vector. | ||
| * For a named vector as `labels`-argument, `set_labels()` now always sorts labels in sorted order of the associated values. | ||
| * `is_empty()` gets a `first.only`-argument, to evaluate either first or all elements of a character vector. | ||
|
|
||
| ## Bug fixes | ||
|
|
||
| * `set_na()` did not work on vectors of class `Date` when argument `as.tag = TRUE`. | ||
| * `flat_table()` did not show values that had no value labels. Now all categories are shown in the frequency table. | ||
| * `rec()` did not properly copy labels of tagged NA values when not all recoded values appeared in the vector. | ||
| * `frq()` did not show correct values, when value labels of a vector were not sorted according their values. | ||
| * `set_labels()` did not set labels properly for ordered factors. | ||
| * `remove_labels()` returned NA-values for value labels (instead of no value labels) when the last value label of a vector was removed. | ||
|
|
||
|
|
||
| # sjmisc 2.1.0 | ||
|
|
||
| ## New functions | ||
|
|
||
| * `find_var()` to find variables in data frames by name or label. | ||
| * `var_labels()` as "tidyversed" alternative to `set_label()` to set variable labels. | ||
| * `var_rename()` to rename variables. | ||
|
|
||
| ## Changes to functions | ||
|
|
||
| * Following functions now get an ellipses-argument `...`, to apply function only to selected variables, but return the complete data frame (thus, overwriting existing variables in a data frame, if requested): `to_factor()`, `to_value()`, `to_label()`, `to_character()`, `to_dummy()`, `zap_labels()`, `zap_unlabelled()`, `zap_na_tags()`. | ||
|
|
||
| ## Bug fixes | ||
|
|
||
| * Fixed bug with copying attributes from tibbles for `merge_df()`. | ||
| * Fixed wrong argument-description in docs of `frq()`. | ||
|
|
||
| # sjmisc 2.0.1 | ||
|
|
||
| ## General | ||
|
|
||
| * Removed package `coin` from Imports. | ||
|
|
||
| ## New functions | ||
|
|
||
| * `count_na()` to print a frequency table of tagged NA values. | ||
|
|
||
| ## Changes to functions | ||
|
|
||
| * `set_na()` gets a `drop.levels` argument to keep or drop factor levels of values that have been replaced with NA. | ||
| * `set_na()` gets a `as.tag` argument to set NA values as regular or tagged NA. | ||
|
|
||
|
|
||
| # sjmisc 2.0.0 | ||
|
|
||
| ## General | ||
|
|
||
| * **sjmisc** now supports _tagged_ `NA` values, a new structure for labelled missing values introduced by the [haven-package](https://cran.r-project.org/package=haven). This means that functions or arguments that are no longer useful, have been removed while other functions dealing with NA values have been largely revised. | ||
| * All statistical functions have been removed and are now in a separate package, [sjstats](https://cran.r-project.org/package=sjstats). | ||
| * Removed some S3-methods for `labelled`-class, as these are now provided by the haven-package. | ||
| * Functions no longer check input for type `matrix`, to avoid conflicts with scaled vectors (that were recognized as matrix and hence treated as data frame). | ||
| * `table(*, exclude = NULL)` was changed to `table(*, useNA = "always")`, because of planned changes in upcoming R version 3.4. | ||
| * More functions (like `trim()` or `frq()`) now also have data frame- or list-methods. | ||
|
|
||
| ## New functions | ||
|
|
||
| * `zap_na_tags()` to turn tagged NA values into regular NA values. | ||
| * `spread_coef()` to spread coefficients of multiple fitted models in nested data frames into columns. | ||
| * `merge_imputations()` to find the most likely imputed value for a missing value. | ||
| * `flat_table()` to print flat (proportional) tables of labelled variables. | ||
| * Added `to_character()` method. | ||
| * `big_mark()` to format large numbers with big marks. | ||
| * `empty_cols()` and `empty_rows()` to find variables or observations with exclusively NA values in a data frame. | ||
| * `remove_empty_cols()` and `remove_empty_rows()` to remove variables or observations with exclusively NA values from a data frame. | ||
|
|
||
| ## Changes to functions | ||
| * `str_contains()` gets a `switch` argument to switch the role of `x` and `pattern`. | ||
| * `word_wrap()` coerces vectors to character if necessary. | ||
| * `to_label()` gets a `var.label` and `drop.levels` argument, and now preserves variable labels by default. | ||
| * Argument `def.value` in `get_label()` now also applies to data frame arguments. | ||
| * If factor levels are numeric and factor has value labels, these are used in `to_value()` by default. | ||
| * `to_factor()` no longer generates `NA` or `NaN`-levels when converting input into factors. | ||
|
|
||
| ## Bug fixes | ||
| * `rec()` did not recode values, when these were the first element of a multi-line string of the `recodes` argument. | ||
| * `is_empty()` returned `NA` instead of `TRUE` for empty character vectors. | ||
| * Fixed bug with erroneous assignment of value labels to subset data when using `copy_labels()` ([#20](https://github.com/sjPlot/sjmisc/issues/20)) | ||
| # sjmisc 2.3.0 | ||
|
|
||
| ## General | ||
|
|
||
| * Added package-vignettes. | ||
|
|
||
| ## New functions | ||
|
|
||
| * `center()` and `std()` are moving from package `sjstats` to `sjmisc`. | ||
| * `add_columns()` to bind columns of first data frame at the end of all data frames. | ||
|
|
||
| ## Changes to functions | ||
|
|
||
| * `frq()` now has the same argument-structure as `flat_table()`. | ||
| * Following functions now follow a consistent tidyverse-approach, with the data being the first argument, followed by variable names: `add_labels()`, `replace_labels()`, `remove_labels()`, `count_na()`, `rec()`, `dicho()`, `split_var()`, `drop_labels()`, `fill_labels()`, `group_var()`, `group_labels()`, `ref_lvl()`, `recode_to()`, `replace_na()`, `set_na()` and `set_labels()`.. | ||
|
|
||
| # sjmisc 2.2.1 | ||
|
|
||
| ## Bug fixes | ||
|
|
||
| * The `sort.frq` did not work `frq()`. | ||
|
|
||
| # sjmisc 2.2.0 | ||
|
|
||
| ## New functions | ||
|
|
||
| * `zap_inf()` to "clean" vectors from `NaN` and infinite values. | ||
| * `descr()` to provide basic descriptive statistics (similar to `describe()` in the psych-package), but including variable labels and usable in pipe-workflows. Also works with grouped data frames. | ||
|
|
||
| ## Changes to functions | ||
|
|
||
| * `rec()`, `split_var()` and `dicho()` get an argument `suffix`, to append a suffix to variable (column) names, if applied on a data frame. | ||
| * Value labels in `rec()` can now directly be assigned inside the `recodes`-syntax (see 'Details' in `?rec`). | ||
| * `find_var()` gets a `as.df`-argument, to return a data frame with matching variables, instead of their column indices only. | ||
| * `find_var()` gets a `as.varlab`-argument, to return a "summary" data frame with column number, variable name and variable label. | ||
| * `flat_table()` now also accepts grouped data frames. | ||
| * `flat_table()` gets a `show.values`-argument, to add values to associated labels in output. | ||
| * `frq()` now also accepts grouped data frames. | ||
| * `frq()` gets a `weight.by`-argument to weight frequencies. | ||
| * `set_na()` can now also find values by their value labels and replace them with NA. | ||
| * `set_na()` now removes unused value labels from values that have been replaced with NA. | ||
| * The `as.tag`-argument in `set_na()` now defaults to `FALSE`. | ||
| * `get_labels()` now always returns labels in sorted order of the associated values. | ||
| * `get_labels()` gets a `drop.unused`-argument, to automatically drop labels from values that don't occur in the vector. | ||
| * For a named vector as `labels`-argument, `set_labels()` now always sorts labels in sorted order of the associated values. | ||
| * `is_empty()` gets a `first.only`-argument, to evaluate either first or all elements of a character vector. | ||
|
|
||
| ## Bug fixes | ||
|
|
||
| * `set_na()` did not work on vectors of class `Date` when argument `as.tag = TRUE`. | ||
| * `flat_table()` did not show values that had no value labels. Now all categories are shown in the frequency table. | ||
| * `rec()` did not properly copy labels of tagged NA values when not all recoded values appeared in the vector. | ||
| * `frq()` did not show correct values, when value labels of a vector were not sorted according their values. | ||
| * `set_labels()` did not set labels properly for ordered factors. | ||
| * `remove_labels()` returned NA-values for value labels (instead of no value labels) when the last value label of a vector was removed. | ||
|
|
||
|
|
||
| # sjmisc 2.1.0 | ||
|
|
||
| ## New functions | ||
|
|
||
| * `find_var()` to find variables in data frames by name or label. | ||
| * `var_labels()` as "tidyversed" alternative to `set_label()` to set variable labels. | ||
| * `var_rename()` to rename variables. | ||
|
|
||
| ## Changes to functions | ||
|
|
||
| * Following functions now get an ellipses-argument `...`, to apply function only to selected variables, but return the complete data frame (thus, overwriting existing variables in a data frame, if requested): `to_factor()`, `to_value()`, `to_label()`, `to_character()`, `to_dummy()`, `zap_labels()`, `zap_unlabelled()`, `zap_na_tags()`. | ||
|
|
||
| ## Bug fixes | ||
|
|
||
| * Fixed bug with copying attributes from tibbles for `merge_df()`. | ||
| * Fixed wrong argument-description in docs of `frq()`. | ||
|
|
||
| # sjmisc 2.0.1 | ||
|
|
||
| ## General | ||
|
|
||
| * Removed package `coin` from Imports. | ||
|
|
||
| ## New functions | ||
|
|
||
| * `count_na()` to print a frequency table of tagged NA values. | ||
|
|
||
| ## Changes to functions | ||
|
|
||
| * `set_na()` gets a `drop.levels` argument to keep or drop factor levels of values that have been replaced with NA. | ||
| * `set_na()` gets a `as.tag` argument to set NA values as regular or tagged NA. | ||
|
|
||
|
|
||
| # sjmisc 2.0.0 | ||
|
|
||
| ## General | ||
|
|
||
| * **sjmisc** now supports _tagged_ `NA` values, a new structure for labelled missing values introduced by the [haven-package](https://cran.r-project.org/package=haven). This means that functions or arguments that are no longer useful, have been removed while other functions dealing with NA values have been largely revised. | ||
| * All statistical functions have been removed and are now in a separate package, [sjstats](https://cran.r-project.org/package=sjstats). | ||
| * Removed some S3-methods for `labelled`-class, as these are now provided by the haven-package. | ||
| * Functions no longer check input for type `matrix`, to avoid conflicts with scaled vectors (that were recognized as matrix and hence treated as data frame). | ||
| * `table(*, exclude = NULL)` was changed to `table(*, useNA = "always")`, because of planned changes in upcoming R version 3.4. | ||
| * More functions (like `trim()` or `frq()`) now also have data frame- or list-methods. | ||
|
|
||
| ## New functions | ||
|
|
||
| * `zap_na_tags()` to turn tagged NA values into regular NA values. | ||
| * `spread_coef()` to spread coefficients of multiple fitted models in nested data frames into columns. | ||
| * `merge_imputations()` to find the most likely imputed value for a missing value. | ||
| * `flat_table()` to print flat (proportional) tables of labelled variables. | ||
| * Added `to_character()` method. | ||
| * `big_mark()` to format large numbers with big marks. | ||
| * `empty_cols()` and `empty_rows()` to find variables or observations with exclusively NA values in a data frame. | ||
| * `remove_empty_cols()` and `remove_empty_rows()` to remove variables or observations with exclusively NA values from a data frame. | ||
|
|
||
| ## Changes to functions | ||
| * `str_contains()` gets a `switch` argument to switch the role of `x` and `pattern`. | ||
| * `word_wrap()` coerces vectors to character if necessary. | ||
| * `to_label()` gets a `var.label` and `drop.levels` argument, and now preserves variable labels by default. | ||
| * Argument `def.value` in `get_label()` now also applies to data frame arguments. | ||
| * If factor levels are numeric and factor has value labels, these are used in `to_value()` by default. | ||
| * `to_factor()` no longer generates `NA` or `NaN`-levels when converting input into factors. | ||
|
|
||
| ## Bug fixes | ||
| * `rec()` did not recode values, when these were the first element of a multi-line string of the `recodes` argument. | ||
| * `is_empty()` returned `NA` instead of `TRUE` for empty character vectors. | ||
| * Fixed bug with erroneous assignment of value labels to subset data when using `copy_labels()` ([#20](https://github.com/sjPlot/sjmisc/issues/20)) |
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