<div><p>A valid comparison of the magnitude of two correlations requires researchers to directly contrast the correlations using an appropriate statistical test. In many popular statistics packages, however, tests for the significance of the difference between correlations are missing. To close this gap, we introduce cocor, a free software package for the R programming language. The cocor package covers a broad range of tests including the comparisons of independent and dependent correlations with either overlapping or nonoverlapping variables. The package also includes an implementation of Zou’s confidence interval for all of these comparisons. The platform independent cocor package enhances the R statistical computing environment and is a...
Comparison is a fundamental method of scientific research leading to insights about the processes th...
This document provides a detailed description regarding how the analyses in Wilcox et al. (2017) wer...
In the package corr2D two-dimensional correlation analysis is implemented in R. This paper describes...
A valid comparison of the magnitude of two correlations requires researchers to directly contrast th...
In the first module we looked at the field experiment as described by the domain scientist and we al...
International audienceCanonical correlations analysis (CCA) is an exploratory statistical method to ...
Scope and Purpose of this Document This document is a user manual for the R package rococo. It is on...
About this course This hands-on training is designed to familiarise you with the data analysis envi...
Objectives When conducting research, sometimes it is important to know if two different characterist...
Objectives When conducting research, sometimes it is important to know if two different characterist...
Objectives When conducting research, sometimes it is important to know if two different characterist...
The R package micompr implements a procedure for assessing if two or more multivariate samples are ...
MULTICORR is a computer program which performs a variety of complex correlational hypothesis tests, ...
Canonical correlations analysis (CCA) is an exploratory statistical method to highlight correlations...
We present `latentcor`, an R package for correlation estimation from data with mixed variable types....
Comparison is a fundamental method of scientific research leading to insights about the processes th...
This document provides a detailed description regarding how the analyses in Wilcox et al. (2017) wer...
In the package corr2D two-dimensional correlation analysis is implemented in R. This paper describes...
A valid comparison of the magnitude of two correlations requires researchers to directly contrast th...
In the first module we looked at the field experiment as described by the domain scientist and we al...
International audienceCanonical correlations analysis (CCA) is an exploratory statistical method to ...
Scope and Purpose of this Document This document is a user manual for the R package rococo. It is on...
About this course This hands-on training is designed to familiarise you with the data analysis envi...
Objectives When conducting research, sometimes it is important to know if two different characterist...
Objectives When conducting research, sometimes it is important to know if two different characterist...
Objectives When conducting research, sometimes it is important to know if two different characterist...
The R package micompr implements a procedure for assessing if two or more multivariate samples are ...
MULTICORR is a computer program which performs a variety of complex correlational hypothesis tests, ...
Canonical correlations analysis (CCA) is an exploratory statistical method to highlight correlations...
We present `latentcor`, an R package for correlation estimation from data with mixed variable types....
Comparison is a fundamental method of scientific research leading to insights about the processes th...
This document provides a detailed description regarding how the analyses in Wilcox et al. (2017) wer...
In the package corr2D two-dimensional correlation analysis is implemented in R. This paper describes...