This R 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. To use this package, please follow the steps below. 1. In R, install the package from CRAN by typing: install.packages("kim") 2. After the package is installed, attach the package in R by typing: library(kim) 3. After the package is attached, update the package to the newest version from the package's Github page by typing: update_kim(
This R package is a collection of functions that are widely used in the Petersen Lab. The most up-to...
This file represents an R script for replicating analyses in "Bayesian Methods for Calibrating Healt...
This tutorial is created for presentation at the 2018 EARLI SIG 1 summer school in Helsinki, Finland...
This R package contains various functions that simplify and expedite analyses of experimental data. ...
This R package contains various functions that simplify and expedite analyses of experimental data. ...
In a time of increasingly efficient technology and data production, scientists are producing data fa...
This tutorial gives a practical introduction to creating R packages. We discuss how object oriented ...
This book demonstrates the importance of computer-generated statistical analyses in behavioral scien...
This book is written for statisticians, data analysts, programmers, researchers, teachers, students,...
The R software (R Core Development Team, 2012) is an open-source statistical software that allows da...
Hands-On Exploratory Data Analysis with R puts the complete process of exploratory data analysis int...
Description This package estimates factor analysis models using a genetic algorithm, which permits a...
The contents of The R Software are presented so as to be both comprehensive and easy for the reader ...
This R package is a collection of functions that are widely used in the Petersen Lab. The most up-to...
This file represents an R script for replicating analyses in "Bayesian Methods for Calibrating Healt...
This tutorial is created for presentation at the 2018 EARLI SIG 1 summer school in Helsinki, Finland...
This R package contains various functions that simplify and expedite analyses of experimental data. ...
This R package contains various functions that simplify and expedite analyses of experimental data. ...
In a time of increasingly efficient technology and data production, scientists are producing data fa...
This tutorial gives a practical introduction to creating R packages. We discuss how object oriented ...
This book demonstrates the importance of computer-generated statistical analyses in behavioral scien...
This book is written for statisticians, data analysts, programmers, researchers, teachers, students,...
The R software (R Core Development Team, 2012) is an open-source statistical software that allows da...
Hands-On Exploratory Data Analysis with R puts the complete process of exploratory data analysis int...
Description This package estimates factor analysis models using a genetic algorithm, which permits a...
The contents of The R Software are presented so as to be both comprehensive and easy for the reader ...
This R package is a collection of functions that are widely used in the Petersen Lab. The most up-to...
This file represents an R script for replicating analyses in "Bayesian Methods for Calibrating Healt...
This tutorial is created for presentation at the 2018 EARLI SIG 1 summer school in Helsinki, Finland...