Allows to plot a number of information related to the interpretation of Correspondence Analysis' results. It provides the facility to plot the contribution of rows and columns categories to the principal dimensions, the quality of points display on selected dimensions, the correlation of row and column categories to selected dimensions, etc. It also allows to assess which dimension(s) is important for the data structure interpretation by means of different statistics and tests. The package also offers the facility to plot the permuted distribution of the table total inertia as well as of the inertia accounted for by pairs of selected dimensions. Different facilities are also provided that aim to produce interpretation-oriented scatterplots. Reference: Alberti 2015 <doi:10.1016/j.softx.2015.07.001>.

CAscaling contains a nonparametric scaling procedure using
conditional association. The scaling procedure is applicable to
test and questionnaire data.

Six variants of two-way correspondence analysis can be performed,
simple ca
singly ordered ca
doubly ordered ca
non symmetrical ca
singly ordered non symmetrical ca
doubly ordered non symmetrical ca

Provides six variants of two-way correspondence analysis (ca):
simple ca, singly ordered ca, doubly ordered ca, non-symmetrical ca,
singly ordered non symmetrical ca, and doubly ordered non symmetrical
ca.

Provides six variants of two-way correspondence analysis (ca):
simple ca, singly ordered ca, doubly ordered ca, non symmetrical ca,
singly ordered non symmetrical ca, and doubly ordered non symmetrical
ca.

R (> 3.0.1), methods, tools, ggplot2, gridExtra, ggrepel, rgl

R (> 3.2.0), methods, tools, ggplot2, gridExtra, ggrepel

R (> 3.0.1), methods, tools, ggforce, ggrepel, gridExtra

CRISPR Pooled Screen Analysis using Beta-Binomial Test
c(person(given = "Hyun-Hwan", family = "Jeong", role = c("aut", "cre"), email = "hyun-hwan.jeong@bcm.edu"))
Provides functions of a statistical hypothesis test for hit gene identification and a mapping algorithm to quantify sgRNA (single-guided RNA) abundances for CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) pooled screen data analysis.
Details are in Jeong et al. (2018) <doi:10.1101/309302>.
Rcpp (>= 0.12.16), metap, magrittr, dplyr, tibble, stringr,
ggplot2, tidyr, glue