New answers tagged

1

Simple comparison of averages The easiest and most common is to display the mean and standard error for each year. If you have more years, you might then want to add indication on the graph corresponding to p.values of pairwise comparisons but I don't think you have more than two years. Below is a short R code that does the job. Note that I estimated ...


2

One solution is to plot exactly the data you are trying to describe - the delta in your values. Consider a bar-plot (with confidence/error bars) showing the plant number along the x-axis and the y-axis showing the change in count with +ve and -ve values. For example, using the data from your question, this visualisation shows clearly that all values bar ...


2

Two styles of graph come to mind. A simple 2 layer histogram showing the distribution of gland counts for each year. This is a kernel density as opposed to a histogram, but it gets the idea across. Line graph with year on the x-axis and gland count on the y-axis, with a colored line for each plant. This would show a little more detail, and would be better ...


1

Ensure that the visualization will not be misleading (if you intend to use visualization to argue in favor of a consistent reduction): Count the number of plants, where the Gland Count would be lower in 2016 than in 2015 (to ensure that is lower for most plants). Then perform a two-sided paired non-parametric test, such as the Wilcoxon signed-rank test, (...



Top 50 recent answers are included