Пакунок: r-cran-sjplot (2.6.2-1)

[ Source: r-cran-sjplot  ]

GNU R data visualization for statistics in social science

Collection of plotting and table output functions for data visualization. Results of various statistical analyses (that are commonly used in social sciences) can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, (generalized) linear models, mixed effects models, principal component analysis and correlation matrices, cluster analyses, scatter plots, stacked scales, effects plots of regression models (including interaction terms) and much more. This package supports labelled data.

Інші пакунки пов'язані з r-cran-sjplot

• dep: r-api-3.5

  virtual package provided by r-base-core

• dep: r-base-core (>= 3.5.2-1)

  GNU R core of statistical computation and graphics system

• dep: r-cran-broom

  convert statistical analysis objects into tidy data frames with GNU R

• dep: r-cran-dplyr (>= 0.7.5)

  GNU R grammar of data manipulation

• dep: r-cran-forcats

  GNU R package for working with categorical variables (factors)

• dep: r-cran-ggeffects (>= 0.7.0)

  GNU R create tidy data frames of marginal effects for 'ggplot'

• dep: r-cran-ggplot2 (>= 2.2.1)

  implementation of the Grammar of Graphics

• dep: r-cran-glmmtmb

  Generalized Linear Mixed Models using Template Model Builder

• dep: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• dep: r-cran-lme4 (>= 1.1-12)

  GNU R package for linear mixed effects model fitting

• dep: r-cran-magrittr

  GNU R forward-pipe operator

• dep: r-cran-mass

  GNU R package of Venables and Ripley's MASS

• dep: r-cran-modelr

  GNU R modelling functions that work with the pipe

• dep: r-cran-nlme

  GNU R package for (non-)linear mixed effects models

• dep: r-cran-psych

  GNU R procedures for psychological, psychometric, and personality research

• dep: r-cran-purrr

  GNU R functional programming tools

• dep: r-cran-rlang

  Functions for Base Types and Core R and 'Tidyverse' Features

• dep: r-cran-scales

  Scale functions for visualization

• dep: r-cran-sjlabelled (>= 1.0.14)

  GNU R labelled data utility functions

• dep: r-cran-sjmisc (>= 2.7.6)

  GNU R data and variable transformation functions

• dep: r-cran-sjstats (>= 0.17.2)

  GNU R collection of convenient functions for statistical computations

• dep: r-cran-tidyr (>= 0.7.0)

  GNU R package to easily tidy data

• sug: r-cran-car

  GNU R Companion to Applied Regression by John Fox

• sug: r-cran-cluster

  GNU R package for cluster analysis by Rousseeuw et al

• sug: r-cran-ggridges

  Ridgeline Plots in 'ggplot2'

• sug: r-cran-gridextra

  GNU R package with extensions for the grid package

• sug: r-cran-pscl

  GNU R package for discrete data models

• sug: r-cran-survey

  GNU R analysis of complex survey samples

• sug: r-cran-testthat

  GNU R testsuite

• sug: r-cran-tmb

  GNU R template model builder: general random effect tool

• sug: r-cran-zelig

  GNU R package providing a unified front-end for estimating statistical models

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