My sjPlot-package was just updated on CRAN with some – as I think – useful new features.
First, I have added some vignettes to the package (based on the existing online-documentation) that cover some core features and principles of the sjPlot-package, so you have direct access to these manuals within R. The vignettes are also online on CRAN.
A second feature is the better support for black & white figures. There are two ways to create plots in black and white or greyscale. For bar plots,
geom.colors = "gs" creates a plot using a greyscale (based on
library(sjPlot) library(sjmisc) library(ggplot2) theme_set(theme_bw()) data(efc) sjp.grpfrq(efc$e42dep, efc$c172code, geom.colors = "gs")
Similar to barplots, lineplots can be plotted in greyscale as well (with
geom.colors = "gs"). However, in most cases lines colored in greyscale are difficult to distinguish. In this case, certain plot types in sjPlot support black & white figures with different linetypes.
Following plot-types allow black & white figures:
- sjp.grpfrq(type = „line“)
- sjp.lm(type = „pred“)
- sjp.glm(type = „pred“)
- sjp.lmer(type = „pred“)
- sjp.glmer(type = „pred“)
geom.colors = "bw" to create a b/w-plot.
# create binrary response y <- ifelse(efc$neg_c_7 < median(na.omit(efc$neg_c_7)), 0, 1) # create data frame for fitting model df <- data.frame( y = to_factor(y), sex = to_factor(efc$c161sex), dep = to_factor(efc$e42dep), barthel = efc$barthtot, education = to_factor(efc$c172code) ) # set variable label for response set_label(df$y) <- "High Negative Impact" # fit model fit <- glm(y ~., data = df, family = binomial(link = "logit")) # print predicted propbabilities sjp.glm(fit, type = "pred", vars = c("barthel", "sex","dep"), geom.colors = "bw")
Different linetypes do not apply to other linetyped plots (like
sjp.lm(type = "eff") or
sjp.lm(type = "slope")), because these usually only plot a single line – so there’s no need for different linetypes, you can just set
geom.colors = "black" (or
geom.colors = "bw").
With this new feature, it’s pretty easy to create plots for (print) journals that require b/w or greyscaled figures.