I’m creating some box plots with geom_boxplot and geom_jitter in ggplot2. For the most part, my data points are clustered around the boxes, but there are a few that aren’t. I’m not removing them as outliers. When the plot is rendered, it squashes the boxes so that the y axis is scaled evenly and it shows the points at the top. What I’d like to do, is still show the points, but have the y axis distance between 1 and 3 the same as between 0 and 1 (approximately anyway). If the results were larger, I would log or square root transform, but they’re small numbers. Is there a way I can make this plot?

I’m creating some box plots with geom_boxplot and geom_jitter in ggplot2. For the most part, my data points are clustered around the boxes, but there are a few that aren’t. I’m not removing them as outliers. When the plot is rendered, it squashes the boxes so that the y axis is scaled evenly and it shows the points at the top. What I’d like to do, is still show the points, but have the y axis distance between 1 and 3 the same as between 0 and 1 (approximately anyway). If the results were larger, I would log or square root transform, but they’re small numbers. Is there a way I can make this plot?

How can I convert the x-axis to have continuous values. In the proposed example, I would like to have the boxplot at 0 away from those associated with 2.5 and 3. I don’t want to have 3 equidistant boxplots.

So, I’d like to extract the outliers that are shown in the boxplot and to find corresponding rows and delete them from data frame. How can I do this?

I am working with a large (50 x 800 000) sparse matrix (dgCMatrix) and want to plot a boxplot for the initial inspection of the data. This is a matrix of numeric items, with named rows (genes) and named columns (cells). The best solution I have found is to compute the relevant stats via sparseMatrixStats::rowQuantiles() and feed them directly to a boxplot geom.

species seed type germination time A initial 10.5 A initial 11.3 B stored 12.5 about data There are 34 species, 2 seed types (stored and initial), germination time is numerical. What I need to create is something similar to the attached image. The main thing is it needs to be created using ggplot I tried […]

I am currently experiencing an issue with the gghdr package in R. I’m trying to generate HDR boxplots, but I keep getting an error message. The code I’m using is as follows:

I am having trouble finding a solution to plot multiple boxplots in one graph with boxplot in R.