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Manny Gimond authored and Manny Gimond committed Jun 10, 2023
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2 changes: 1 addition & 1 deletion NEWS.md
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Expand Up @@ -8,7 +8,7 @@
* `eda_lm` will now output `lm` intercept and slope.
* Adds plot method for `eda_rline` object.
* In `eda_re` if `p = 1`, box-cox option is ignored.
* Homogenize plot appearances.
* Homogenized plot appearances.
* Added power parameter argument to `eda_boxls`.
* Added power parameter argument to `eda_sl`.
* Added plot option to `eda_sl`.
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16 changes: 4 additions & 12 deletions README.Rmd
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Expand Up @@ -26,12 +26,7 @@ The `tukeyedar` package houses a subset of functions used in Exploratory
Data Analysis (EDA). Most functions are inspired by work published by
Tukey (1977), D. C. Hoaglin and Tukey (1983) and Velleman and Hoaglin
(1981). Note that this package is in beta mode, so use at your own
discretion. Many of the plots generated from these functions are not
necessarily geared for publication but are designed to focus the
viewer’s attention on the patterns generated by the plots (hence the
reason for light colored axes and missing axes labels for some of the
plots ).

discretion.

## Installation

Expand All @@ -51,10 +46,6 @@ the `build_vignettes = TRUE` parameter.
devtools::install_github("mgimond/tukeyedar", build_vignettes = TRUE)
```

The vignette will require that `dplyr` be installed since the `eda_sl`
function relies on it. If `dplyr` is not already installed, the
aforementioned syntax will automatically install it for you.

If for some reason the vignettes are not created, you might want to
re-install the package with the `force=TRUE` parameter.

Expand All @@ -68,7 +59,8 @@ It’s strongly recommended that you read the vignettes. These can be accessed f

- [A detailed rundown of the resistant line function](https://mgimond.github.io/tukeyedar/articles/RLine.html)
- [The median polish](https://mgimond.github.io/tukeyedar/articles/polish.html)

- [The emprirical QQ plot](https://mgimond.github.io/tukeyedar/articles/qq.html)

If you chose to have the vignettes locally created when you installed the package, then you can view them locally via
`vignette("RLine", package = "tukeyedar")`. If you use a dark themed IDE, the vignettes may not render very well so you might opt to view them in a web browser via the functions `RShowDoc("RLine", package = "tukeyedar")`.

Expand All @@ -78,7 +70,7 @@ All functions start with `eda_`. For example, to generate a three point
summary plot of the `mpg` vs. `disp` from the `mtcars` dataset, type:


```{r, fig.height=2.6, fig.width = 3.2}
```{r, fig.height=2.6, fig.width = 3.2, eval=FALSE}
library(tukeyedar)
eda_3pt(mtcars, disp, mpg)
```
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29 changes: 3 additions & 26 deletions README.md
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Expand Up @@ -15,11 +15,7 @@ The `tukeyedar` package houses a subset of functions used in Exploratory
Data Analysis (EDA). Most functions are inspired by work published by
Tukey (1977), D. C. Hoaglin and Tukey (1983) and Velleman and Hoaglin
(1981). Note that this package is in beta mode, so use at your own
discretion. Many of the plots generated from these functions are not
necessarily geared for publication but are designed to focus the
viewer’s attention on the patterns generated by the plots (hence the
reason for light colored axes and missing axes labels for some of the
plots ).
discretion.

## Installation

Expand All @@ -40,10 +36,6 @@ the `build_vignettes = TRUE` parameter.
devtools::install_github("mgimond/tukeyedar", build_vignettes = TRUE)
```

The vignette will require that `dplyr` be installed since the `eda_sl`
function relies on it. If `dplyr` is not already installed, the
aforementioned syntax will automatically install it for you.

If for some reason the vignettes are not created, you might want to
re-install the package with the `force=TRUE` parameter.

Expand All @@ -60,6 +52,8 @@ accessed from this website:
function](https://mgimond.github.io/tukeyedar/articles/RLine.html)
- [The median
polish](https://mgimond.github.io/tukeyedar/articles/polish.html)
- [The emprirical QQ
plot](https://mgimond.github.io/tukeyedar/articles/qq.html)

If you chose to have the vignettes locally created when you installed
the package, then you can view them locally via
Expand All @@ -78,23 +72,6 @@ library(tukeyedar)
eda_3pt(mtcars, disp, mpg)
```

<img src="man/figures/README-unnamed-chunk-5-1.png" width="50%" />

#> $slope1
#> [1] -0.1117241
#>
#> $slope2
#> [1] -0.0220894
#>
#> $hsrtio
#> [1] 0.1977137
#>
#> $xmed
#> [1] 95.1 167.6 360.0
#>
#> $ymed
#> [1] 27.30 19.20 14.95

Note that most functions are *pipe* friendly. For example, the following
works:

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