Mean values and standard deviations (SD) can easily be plotted using the ggplot2 package in R. The same approach can also be used to plot the means and confidence intervals. In that case, you plot the lower and upper confidence limits instead of the mean-SD and mean+SD respectively. First, we compute the means and standard…
A forest plot is a very efficient way to present the results of an analysis that compares two groups for several populations or subgroups. It shows all the important information together in a single figure. Forest plots usually consist of multiple plots and tables. In this post, we will create each individual figure and table…
When presenting data on a plot, it is sometimes useful to also show a table with the actual numbers next to the plot. In some cases (e.g., mean profile plots and forest plots), the x-axes or y-axes of the individual plots/tables need to align with each other. There are several methods in combine plots and…
Forest plots are useful when conducting meta-analyses, to visualize the results of multiple scientific studies in a single graph. Forest plots are also commonly used in subgroup analyses to visualize the results of the different categories of a subgroup, or different categories from multiple subgroups on a single graph. The Dataset In this post, we…
A mean profile plot is used to visualize the evolution of a variable measured over time. In a previous, we used a dataset of blood glucose over time as an example. We created a dummy dataset consisting of two groups of 25 diabetic patients with their blood glucose measured consecutively for 10 days. To plot…