RDocumentation
Moon
Learn R
Search all packages and functions
⚠️
There's a newer version (2.8.15) of this package.
Take me there.
sjPlot (version 1.8.1)
Data Visualization for Statistics in Social Science
Description
Collection of several plotting and table output functions for visualizing data.
Copy Link
Copy
Link to current version
Version
Version
2.8.15
2.8.14
2.8.13
2.8.12
2.8.11
2.8.10
2.8.9
2.8.8
2.8.7
2.8.6
2.8.5
2.8.4
2.8.3
2.8.2
2.8.1
2.8.0
2.7.2
2.7.1
2.7.0
2.6.3
2.6.2
2.6.1
2.6.0
2.5.0
2.4.1
2.4.0
2.3.3
2.3.2
2.3.1
2.3.0
2.2.1
2.2.0
2.1.2
2.1.1
2.1.0
2.0.2
2.0.1
2.0.0
1.9.4
1.9.3
1.9.2
1.9.1
1.8.4
1.8.3
1.8.2
1.8.1
1.7
1.6.9
1.6.8
1.6.5
1.5
1.4.3
1.4.2
1.4.1
1.3
1.2.2
1.1
1.0
0.9
0.8
Down Chevron
Install
install.packages('sjPlot')
Monthly Downloads
32,894
Version
1.8.1
License
GPL-3
Issues
214
Pull Requests
2
Stars
595
Forks
91
Repository
https://github.com/sjPlot/devel
Maintainer
Daniel Lüdecke
Last Published
May 29th, 2015
Functions in sjPlot (1.8.1)
Search functions
adjust_plot_range
Adjust y range of ggplot-objects
sjc.dend
Compute hierarchical cluster analysis and visualize group classification
sjc.cluster
Compute hierarchical or kmeans cluster analysis
sjc.elbow
Compute elbow values of a k-means cluster analysis
sjt.mwu
Show Mann-Whitney-Test as HTML table
sjPlot-package
Data Visualization for Statistics in Social Science
sjt.grpmean
Show grouped means as HTML table
dist_f
Plot F distributions
sjc.kgap
Compute gap statistics for k-means-cluster
sjc.grpdisc
Compute a linear discriminant analysis on classified cluster groups
dist_norm
Plot normal distributions
sjt.itemanalysis
Show item analysis of an item scale as HTML table
sjp.lmer
Plot estimates or predicted values of linear mixed effects models
dist_chisq
Plot chi-squared distributions
sjp.chi2
Plot Pearson's Chi2-Test of multiple contingency tables
sjp.lm
Plot estimates or predicted values of linear models
dist_t
Plot t-distributions
sjt.stackfrq
Show stacked frequencies as HTML table
sjt.xtab
Show contingency tables as HTML table
sjp.glm
Plot odds ratios or predicted probabilities of generalized linear models
sjp.frq
Plot frequencies of (count) variables
sjt.glmer
Show (and compare) generalized linear mixed models as HTML table
view_spss
View SPSS (and SAS/Stata) data set structure
sjp.likert
Plot likert scales as centered stacked bars
sjt.corr
Show correlations as HTML table
sjt.pca
Show principal component analysis as HTML table
sjt.lmer
Show linear mixed effects models as HTML table
sjt.df
Show (description of) data frame as HTML table
sjp.stackfrq
Plot stacked proportional bars
sjp.aov1
Plot One-Way-Anova tables
sjp.glmm
Plot odds ratios (forest plots) of multiple fitted glm's
sjp.grpfrq
Plot grouped or stacked frequencies
sjp.scatter
Plot (grouped) scatter plots
sjt.lm
Show linear regression as HTML table
sjt.frq
Show frequencies as HTML table
sjt.glm
Show (and compare) generalized linear models as HTML table
sjc.qclus
Compute quick cluster analysis
sjp.xtab
Plot contingency tables
sjp.lmm
Plot beta coefficients of multiple fitted lm's
sjp.corr
Plot correlation matrix
sjp.glmer
Plot odds ratios or predicted probabilities of generalized linear mixed effects models
sjp.setTheme
Set global theme options for sjp-functions
sjp.pca
Plot PCA results
sjp.int
Plot interaction effects of (generalized) linear (mixed) models
sjp.poly
Plot polynomials for (generalized) linear regression
save_plot
Save ggplot-figure for print publication
sjp.gpt
Plot grouped proportional tables
view_df
View structure of labelled data frames
sj.setGeomColors
Helper function to set geom colors
sjp.emm.int
Plot estimated marginal means of Two-Way Repeated Measures AN(C)OVA