Thefacet_wrapfunction is another option to draw multiple boxplots grouped by the specific parameter. In this case, we demonstrate the yearly grouping of the plots. Note thatfacet_wrapcan work without specifying thefillparameter, but it helps distinguish different plots by colors as outputted using...
I don't quite understand what you mean by boxplot with significant level but here a suggestion how you can generate those bars: I would solve this constructing small dataframes with the coordinates of the bars. Here an example: pp <- ggplot(mtcars, aes(factor(cyl), mpg)) + geom_boxplo...
dataset' minimum and maximum, the upper and lower quartiles, the average value. and the median. When the F# script calculates these six statistics, the values can be passed to the function FSharpChart.BoxPlot as a six-element tuple (or a list of such tuples to draw multiple boxplots)...
The .GRP function in data.table is convenient here. This data can then be used to draw a geom_line between the means. # dodge value pos <- position_dodge(width = 0.75) # initial plot p <- ggplot(data = DATA, aes(x = X, y = Y, fill = Z)) + geom_boxplot(outlier.size =...
plotnine is made using matplotlib as the back-end, so I'm guessing there must be a way to draw subplots (without using faceting). Is there a way to do so? I'd be happy to contribute to the documentation if someone points out a solution. 👍 9 Owner has2k1 commented Aug 18, 201...
These errors are easy to detect when the code is basic, but can become much harder to spot with a more complex code, for instance:1 for (i in y) { for (j in x) { p <- ggboxplot(dat, x = colnames(dat[j]), y = colnames(dat[i]), color = colnames(dat[j]), legend = ...
At some point in the past, I even wrote code to: draw a boxplot test for the equality of variances (thanks to the Levene’s test) depending on whether the variances were equal or unequal, the appropriate test was applied: the Welch test if the vari...
At some point in the past, I even wrote code to: draw a boxplot test for the equality of variances (thanks to the Levene’s test) depending on whether the variances were equal or unequal, the appropriate test was applied: the Welch test if the variances w...
Matplotlib histogram is used to visualize the frequency distribution of numeric array. In this article, we explore practical techniques like histogram facets, density plots, plotting multiple histograms in same plot.
I have been using R/ggplot2 to successfully generate graphs that are very close to those generated by a commercial tool used in my company. But there are a few features that I am unable to implement to my boxplots generated using R. ...