I think the issue was by ths following , I'm trying to use ggplot to create a geom_point with two lines, typically these two lines are from two different variables within a dataframe e.g. , Using tidyverse functions, you can do
it helps some times I am trying to create a circular plot to the display frequency/counts of months in my dataset but I would also like to group the months by season. Here is a similar plot for time of day, and now I would like to use the same approach to plot months/seasons. However, for some reason I can't seem to specify the right option to break my scale into non-overlapping month categories. Any suggestions are much appreciated. , Following simple version works:
ggplot(eventdata, aes(x = factor(months), fill = season)) +
geom_bar ggplot2 plotting category but assigning colour scales based on an additional factor
hop of those help? Here's a solution as per the comment thread, using facets for type and colours for species. It may be less effective than this example in practice, depending on how many dates, types and species there are in the data.
it helps some times First of all, thanks^13 to tidyverse. I want the bars in the chart below to follow the same factor levels reordered by forcats::fct_reorder (). Surprisingly, I see different order of levels in the data set when View ()ed as when they are displayed in the chart (see below). The chart should illustrate the number of failed students before and after the bonus marks (I want to sort the bars based on the number of failed students before the bonus). , Use factor with unique levels for your x -axis.
ggplot (df) +
(subject, FailNo, .desc= TRUE),
fill = forcats::fct_rev (Bonus)),
position = 'dodge', stat = 'identity') +
theme(axis.text.x=element_text(angle=45, vjust=1.5, hjust=1.5, size = rel (1.2)))
I think the issue was by ths following , For reasons that I don't really understand, the factor order is ignored when you use geom_point twice. Modifying the data so that you only need to call geom_point once fixed the problem.