Descriptive analysis is essential for publishing medical articles.
This package provides an easy way to conduct the descriptive analysis.
1. Both numeric and factor variables can be handled. For numeric variables, normality test will be applied to choose the parametric and nonparametric test.
2. Both two or more groups can be handled. For groups more than two, the post hoc test will be applied, 'Tukey' for the numeric variables and 'FDR' for the factor variables.
3. T test, ANOVA or Fisher test can be forced to apply.

Descriptive analysis is essential for publishing medical articles.
This package provides an easy way to conduct the descriptive analysis.
1. Both numeric and factor variables can be handled. For numeric variables, normality test will be applied to choose the parametric and nonparametric test.
2. Both two or more groups can be handled. For groups more than two, the post hoc test will be applied, 'Tukey' for the numeric variables and 'FDR' for the factor variables.
3. T test, ANOVA or Fisher test can be forced to apply.
4. Mean and standard deviation can be forced to display.

Easily Computes the Differential Coexpression Analysis
person("Davide", "Chicco", email = "davidechicco@davidechicco.it", comment = c(ORCID = "0000-0001-9655-7142"),
role = c("aut", "cre"))
A function that reads in the GEO code of a list of probesets or gene symbols, a gene expression dataset GEO accession code, the name of the dataset feature discriminating the two conditions for the differential coexpression, and the values of the two different conditions for the differential coexpression. If the input gene list is made of gene symbols, this package associates the probesets to these gene symbols, if found.  Platforms available: GPL80, GPL8300, GPL80, GPL96, GPL570, GPL571, GPL20115, GPL1293,  GPL6102, GPL6104, GPL6883, GPL6884, GPL13497, GPL14550, GPL17077, GPL6480. GEO: Gene Expression Omnibus. ID: identifier code. The GEO datasets are downloaded from the URL <https://ftp.ncbi.nlm.nih.gov/geo/series/>.
WGCNA, Matrix, Biobase, GEOquery, diffcoexp, annotate,
easypackages, geneExpressionFromGEO, dplyr, jetset, markdown,
R.utils, magrittr, xml2
Davide Chicco [aut, cre] (<https://orcid.org/0000-0001-9655-7142>)