This package contains various functions that simplify and expedite analyses of experimental data. Examples include a function that plots sample means of groups in a factorial experimental design, a function that conducts robust regressions with bootstrapped samples, and a function that conducts robust two-way analysis of variance.
You can install the released version of kim from CRAN with:
You can also install the development version from kim on GitHub with:
If you run into errors while using the package, try updating the package to the most recent version available on kim on GitHub with:
Here are some examples of using this package.
library(kim) # (Optional) install all dependencies for all functions in Package 'kim' install_all_dependencies() # update the package 'kim', clear the console and environment, # set up working directory to location of the active document, # and load the two default packages ('data.table' and 'ggplot2') start_kim() # create a scatter plot scatterplot(data = mtcars, x_var_name = "wt", y_var_name = "mpg") # get descriptive statistics by group desc_stats_by_group( data = mtcars, var_for_stats = "mpg", grouping_vars = c("vs", "am")) # plot histograms by group histogram_by_group(data = mtcars, iv_name = "cyl", dv_name = "mpg") # plot sample means of groups in a factorial experimental design plot_group_means(data = mtcars, dv_name = "mpg", iv_name = "gear") # conduct a two-way ANOVA two_way_anova( data = mtcars, dv_name = "mpg", iv_1_name = "vs", iv_2_name = "am") # conduct a multiple regression analysis multiple_regression(data = mtcars, formula = mpg ~ gear * cyl) # conduct a robust regression analysis using bootstrapped samples robust_regression(data = mtcars, formula = mpg ~ cyl * hp) # conduct a mediation analysis mediation_analysis( data = mtcars, iv_name = "cyl", mediator_name = "disp", dv_name = "mpg") # conduct a floodlight analysis for a 2 x continuous design floodlight_2_by_continuous( data = mtcars, iv_name = "am", dv_name = "mpg", mod_name = "qsec")
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