My set of packages for (daily) data analysis #rstats

I started writing my first package as collection of various functions that I needed for (almost) daily work. Meanwhile, packages were growing and bit by bit I sourced out functions to put them into new packages. Although this means more work for CRAN members when they have more packages to manage on their network, from […]

sjPlot package and related online manuals updated #rstats # ggplot

My sjPlot package for data visualization has just been updated on CRAN. I’ve added some features to existing function, which I want to introduce here. Plotting linear models So far, plotting model assumptions of linear models or plotting slopes for each estimate of linear models were spread over several functions. Now, these plot types have […]

Visualize pre-post comparison of intervention #rstats

My sjPlot-package was just updated on CRAN, introducing a new function called sjp.emm.int to plot estimated marginal means (least-squares means) of linear models with interaction terms. Or: plotting adjusted means of an ANCOVA. The idea to this function came up when we wanted to analyze the effect of an intervention (an educational programme on knowledge […]

Comparing multiple (g)lm in one graph #rstats

It’s been a while since a user of my plotting-functions asked whether it would be possible to compare multiple (generalized) linear models in one graph (see comment). While it is already possible to compare multiple models as table output, I now managed to build a function that plots several (g)lm-objects in a single ggplot-graph. The […]