With the package nFactors (Raiche, 2011) and the R Stats Package, we confirmed one-dimensionality by means of factor analysis. We used the package WrightMap (Torres Irribarra and Freund, 2016) to draw Wright Maps and the package sirt (Robitzsch, 2014) to calculate Yen’s Q3. Item ...
A correlation matrix can be generated using the cor function which is contained in the stats package. There are a variety of functions for various types of correlation analysis. The cor function provides a fast method to calculate Pearson’s r with a large dataset such as the one used in th...
library(devtools)devtools::install_github("statswithr/statsr",dependencies=TRUE,upgrade_dependencies=TRUE) This will install the packages and any packages that are required, as well as updating any installed packages to their latest versions. ...
A correlation matrix can be generated using the cor function which is contained in the stats package. There are a variety of functions for various types of correlation analysis. The cor function provides a fast method to calculate Pearson’s r with a large dataset such...
stats The R Stats Package tibble Simple Data Frames tidyr Easily tidy data with spread() and gather() functions ggprism Interactive 3D plots with ‘prism’ graphics cowplot Streamlined Plot Theme and Plot Annotations for ‘ggplot2’ ggforce Easily add secondary axes, zooms, and image overlays to...
Genes expressed in at least one sample were used to perform PCA with the prcomp function (center = TRUE, scale = FALSE) from the R package stats (https://stat.ethz.ch/R-manual/R-devel/library/stats/html/stats-package.html). The 3D diagram of PCA for all 24 samples was visu...
a dendrogram was constructed using hclust from thestatsR package (method = “ward.D2”) and 3 clusters were defined by the cutree function (k = 3,statsR package). Cluster 3 defined a set of genes with a clear co-expression structure and these genes were further leveraged to com...
Learn everything you need to know about the R programming language and discover why it is the most widely used language in data science.
As a beginning data scientist, you’ll have quite a few subject areas that you need to learn (and eventually master). While you’ll certainly need to learn some math and statistics, math and stats are not the first things I recommend to most beginners. A
Our short-term aims are to implement all distributions in the R stats package as well as some other commonly utilised distributions. We also allow for user-defined probability distributions/families via multiple inheritance. Building the package from the ground up and making use of tried and tested...