Introduction to toolPhD

Tien-Cheng Wang

2025-02-18

Then the package can be loaded using the function

library(toolPhD)
#> Registered S3 methods overwritten by 'ggpp':
#>   method                  from   
#>   heightDetails.titleGrob ggplot2
#>   widthDetails.titleGrob  ggplot2
#> Registered S3 method overwritten by 'ggpmisc':
#>   method                  from   
#>   as.character.polynomial polynom

Structure overview of toolPhD

toolPhD contains different functions to calculate stability indices, including:

Examples

rm(list=ls())
library(toolPhD)
### load data

dplyr::glimpse(iris)
#> Rows: 150
#> Columns: 5
#> $ Sepal.Length <dbl> 5.1, 4.9, 4.7, 4.6, 5.0, 5.4, 4.6, 5.0, 4.4, 4.9, 5.4, 4.~
#> $ Sepal.Width  <dbl> 3.5, 3.0, 3.2, 3.1, 3.6, 3.9, 3.4, 3.4, 2.9, 3.1, 3.7, 3.~
#> $ Petal.Length <dbl> 1.4, 1.4, 1.3, 1.5, 1.4, 1.7, 1.4, 1.5, 1.4, 1.5, 1.5, 1.~
#> $ Petal.Width  <dbl> 0.2, 0.2, 0.2, 0.2, 0.2, 0.4, 0.3, 0.2, 0.2, 0.1, 0.2, 0.~
#> $ Species      <fct> setosa, setosa, setosa, setosa, setosa, setosa, setosa, s~
view_df(iris)
#>         colnam    info
#> 1 Sepal.Length 4.3~7.9
#> 2  Sepal.Width   2~4.4
#> 3 Petal.Length   1~6.9
#> 4  Petal.Width 0.1~2.5
#> 5      Species  1,2,3,