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Analitica
is an R package that provides tools for
descriptive statistics, exploratory visualization, outlier detection,
homogeneity of variance tests, and post hoc group comparisons—both
parametric and non-parametric.
It is especially useful for applied analysis, teaching, and reproducible research.
You can install the development version from GitHub:
# install.packages("devtools")
::install_github("<your_github_username>/Analitica") devtools
descripYG()
: Descriptive summaries with histograms,
boxplots, or ridge plotsLevene.Test()
, BartlettTest()
,
FKTest()
: Homoscedasticity testsgrubbs_outliers()
: Univariate outlier detection using
Grubbs’ testGHTest()
, TukeyTest()
,
ScheffeTest()
, SNKTest()
: Parametric post hoc
testsMWTest()
, BMTest()
,
BMTest_perm()
: Non-parametric group comparisonslibrary(Analitica)
data(d_e, package = "Analitica")
descripYG(d_e, vd = Sueldo_actual, vi = labor)
<- aov(Sueldo_actual ~ as.factor(labor), data = d_e)
mod <- GHTest(mod)
resultado summary(resultado)
plot(resultado)
MIT © Carlos Jiménez-Gallardo
If you use this package, please cite it as:
```text Jiménez-Gallardo, C. (2025). Analitica: Exploratory Data Analysis and Group Comparison Tools. R package version 1.6.0.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.