![[R logo]](../../../doc/html/logo.jpg){kind=logo}
![[Up]](../../../doc/html/left.jpg){kind=small}
![[Top]](../../../doc/html/up.jpg){kind=small}
| sjPlot-package | Data Visualization for Statistics in Social Science |
| efc | Sample dataset from the EUROFAMCARE project |
| sj.setGeomColors | Helper function to set geom colors |
| sjc.cluster | Compute hierarchical or kmeans cluster analysis |
| sjc.dend | Compute hierarchical cluster analysis and visualize group classification |
| sjc.elbow | Compute elbow values of a k-means cluster analysis |
| sjc.grpdisc | Compute a linear discriminant analysis on classified cluster groups |
| sjc.kgap | Compute gap statistics for k-means-cluster |
| sjc.qclus | Compute quick cluster analysis |
| sjd.chisq | Plot chi-squared distributions |
| sjd.f | Plot F distributions |
| sjd.norm | Plot normal distributions |
| sjd.t | Plot t-distributions |
| sji.convertToLabel | Replaces variable values with their associated value labels |
| sji.convertToValue | Converts factors to numeric variables |
| sji.getValueLabels | Retrieve value labels of a variable or an SPSS-imported data frame |
| sji.getVariableLabels | Retrieve variable labels of (an SPSS-imported) data frame or of a specific variable |
| sji.setValueLabels | Attach value labels to a variable or vector |
| sji.setVariableLabels | Attach variable label(s) to a single variable or data frame |
| sji.SPSS | Import SPSS dataset as data frame into R |
| sji.viewSPSS | View SPSS data set structure |
| sjp.aov1 | Plot One-Way-Anova tables |
| sjp.chi2 | Plot Pearson's Chi2-Test of multiple contingency tables |
| sjp.corr | Plot correlation matrix |
| sjp.emm.int | Plot adjusted (estimated marginal) means of interaction (moderation) in linear models |
| sjp.frq | Plot frequencies of (count) variables |
| sjp.glm | Plot odds ratios (forest plots) |
| sjp.glmer | Plot odds ratios (forest plots) of generalized linear mixed effects models |
| sjp.glmm | Plot odds ratios (forest plots) of multiple fitted glm's |
| sjp.grpfrq | Plot grouped or stacked frequencies |
| sjp.int | Plot interaction effects of (generalized) linear (mixed) models |
| sjp.likert | Plot likert scales as centered stacked bars |
| sjp.lm | Plot linear models |
| sjp.lmer | Plot estimates (forest plots) of linear mixed effects models |
| sjp.lmm | Plot beta coefficients of multiple fitted lm's |
| sjp.pca | Plot PCA results |
| sjp.scatter | Plot (grouped) scatter plots |
| sjp.setTheme | Set global theme options for sjp-functions |
| sjp.stackfrq | Plot stacked proportional bars |
| sjp.xtab | Plot contingency tables |
| sjPlot | Data Visualization for Statistics in Social Science |
| sjs.aov1.levene | Plot Levene-Test for One-Way-Anova |
| sjs.chi2.gof | Performs a Chi-square goodness-of-fit-test |
| sjs.cramer | Cramer's V for a contingency table |
| sjs.cronbach | Calculates Cronbach's Alpha for a matrix |
| sjs.etasq | Retrieve eta squared of fitted anova |
| sjs.mic | Computes a mean inter-item-correlation. |
| sjs.mwu | Performs a Mann-Whitney-U-Test |
| sjs.phi | Phi value for a contingency table |
| sjs.reliability | Performs a reliability test on an item scale. |
| sjs.se | Compute standard error for variables |
| sjs.stdb | Retrieve std. beta coefficients and ci of lm |
| sjs.table.values | Compute table's values |
| sjt.corr | Show correlations as HTML table |
| sjt.df | Show (description of) data frame as HTML table |
| sjt.frq | Show frequencies as HTML table |
| sjt.glm | Show (and compare) generalized linear models as HTML table |
| sjt.grpmean | Show grouped means as HTML table |
| sjt.itemanalysis | Show item analysis of an item scale as HTML table |
| sjt.lm | Show linear regression as HTML table |
| sjt.pca | Show principal component analysis as HTML table |
| sjt.stackfrq | Show stacked frequencies as HTML table |
| sjt.xtab | Show contingency tables as HTML table |
| sju.adjustPlotRange.y | Adjust y range of ggplot-objects |
| sju.dicho | Dichotomize variables |
| sju.groupString | Group near elements of string vectors |
| sju.groupVar | Recode count variables into grouped factors |
| sju.groupVarLabels | Create labels for recoded groups |
| sju.mean.n | Compute row means with min amount of valid values |
| sju.recode | Recode variable values. |
| sju.recodeTo | Recode variable categories into new values. |
| sju.setNA | Set NA for specific variable values |
| sju.strpos | Find partial matching and close distance elements in strings |
| sju.weight | Weight a variable |
| sju.weight2 | Weight a variable |
| sju.wordwrap | Insert line breaks in long labels |