Hi, I'm 22 years old, I'm a tech geek, because I started learning programming and stuff on youtube and other sites. I created this GitHub account to learn things like: html & css & javascript & Bootstrap & sass & react &Web server hacker, white hat hacker, server virtualization and computer network monitoring expert

I love rubik's cube or board games like chess, checkers and other games, by the way, I create things about this, like the CanUseTimer app, it's my best project for a while.

You can install the rempsyc package directly from CRAN:

install.packages("rempsyc")

Or the development version from the r-universe (note that there is a 24-hour delay with GitHub):

install.packages("rempsyc", repos = c(
  rempsyc = "https://rempsyc.r-universe.dev",
  CRAN = "https://cloud.r-project.org"))

Or from GitHub, for the very latest version:

"rempsyc/rempsyc"

You can load the package and open the help file, and click “Index” at the bottom. You will see all the available functions listed.

library(rempsyc)
?rempsyc

library(rempsyc)

nice_t_test(data = mtcars,
            response = c("mpg", "disp", "drat", "wt"),
            group = "am") -> t.tests
t.tests
#>   Dependent Variable         t       df              p         d   CI_lower
#> 1                mpg -3.767123 18.33225 0.001373638333 -1.477947 -2.2659731
#> 2               disp  4.197727 29.25845 0.000230041299  1.445221  0.6417834
#> 3               drat -5.646088 27.19780 0.000005266742 -2.003084 -2.8592770
#> 4                 wt  5.493905 29.23352 0.000006272020  1.892406  1.0300224
#>     CI_upper
#> 1 -0.6705686
#> 2  2.2295592
#> 3 -1.1245498
#> 4  2.7329218

# Format t-test results
t_table <- nice_table(t.tests)
t_table

contrasts <- nice_contrasts(
  data = mtcars,
  response = c("mpg", "disp"),
  group = "cyl",
  covariates = "hp")
contrasts
#>   Dependent Variable Comparison df         t              p         d
#> 1                mpg      4 - 8 28  3.663188 0.001028617005  3.587739
#> 2                mpg      6 - 8 28  1.290359 0.207480642577  1.440495
#> 3                mpg      4 - 6 28  3.640418 0.001092088865  2.147244
#> 4               disp      4 - 8 28 -6.040561 0.000001640986 -4.803022
#> 5               disp      6 - 8 28 -4.861413 0.000040511099 -3.288726
#> 6               disp      4 - 6 28 -2.703423 0.011534398020 -1.514296
#>     CI_lower   CI_upper
#> 1  2.7233152  4.5444020
#> 2  0.7636356  1.9983921
#> 3  1.3463241  3.0909832
#> 4 -5.8742386 -3.8249073
#> 5 -4.3364754 -2.2536315
#> 6 -2.2348783 -0.8642249