boxplot

I noticed that median of boxplot (constructed with restricted ylim-parameter) may differ from the median obtained by median()-function or boxplot without adjusted y-axis. Does it mean that boxplot use for calculations only values lying within defined interval of y-axis?? And if so, how could I get correct boxplot (based on all values), but plot it on particular interval of y.axis?? Thank you very much. Using ylim restricts the scale for y . In ggplot, data that falls outside the scale's limits is discarded and is not included in any statistical computations (such as boxplots). To just zoom the

Probably this is a simple question, Does anyone know how to hide the default axis x labels in boxplot() in R? It should be simple, but I search on several sites and on boxplot help but could not find the answer. You mean like this? d <- data.frame(x = 2, y=1:5) boxplot(d) boxplot(d, axes=FALSE) # add axes=FALSE to remove axes you can then add axes however you please: e.g. d <- data.frame(x = 2, y=1:5) boxplot(d, axes=FALSE) axis(2, at=1:5, labels=c(rep("whatever I want",5))) EDIT as per your comment: remove default labels: boxplot(d, xaxt="n") 来源： https://stackoverflow.com/questions/14537324

I want to plot Delta~Project.Types in R. I have 10 Project Types. I know how to do the boxplot : boxplot(Delta~Project.Types). However, how can I put the fivenum (min, max, 1st, 2nd, and 3rd quantile) on each boxplot? How can I do for that every boxplot of the image will have its five number shown? That would be easier to compare the boxplots when the values are shown Thanks! The stats you want can also be obtained with fivenum five <- by(InsectSprays$count, InsectSprays$spray, fivenum) do.call(cbind, five) # A B C D E F # [1,] 7.0 7.0 0.0 2.0 1.0 9 # [2,] 11.0 12.0 1.0 3.5 2.5 12 # [3,] 14.0

The below code helps in obtaining subplots with unique colored boxes. But all subplots share a common set of x and y axis. I was looking forward to having independent axis for each sub-plot: import pandas as pd import numpy as np import matplotlib.pyplot as plt from matplotlib.patches import PathPatch df = pd.DataFrame(np.random.rand(140, 4), columns=['A', 'B', 'C', 'D']) df['models'] = pd.Series(np.repeat(['model1','model2', 'model3', 'model4', 'model5', 'model6', 'model7'], 20)) bp_dict = df.boxplot( by="models",layout=(2,2),figsize=(6,4), return_type='both', patch_artist = True, ) colors =

I am working on placing letters representing the results of a Tukey's HSD on a boxplot that I've made. I've found a description of how to do it here: r-graph gallery , but I am getting an error after I run the function. Here is my data: dput(WaterConDryMass) structure(list(ChillTime = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L), .Label = c("Pre-chill", "6", "13", "24", "Post-chill"), class = "factor"), dmass = c(0.22, 0.19, 0.34, 0.12, 0.23, 0.33, 0.38, 0.15, 0.31, 0.34, 0.45, 0.48, 0.59, 0.54, 0.73, 0.69, 0.53, 0.57, 0.39, 0.8)), .Names = c(

I want to adapt the width of the box in the category "random" to the same width of the other boxes in the plot. It is now a single group, whereas the other groups contain two subgroups... Any ideas on how to do that? Using geom_boxplot(width=0.2) just changes the width of all boxes. So far I used the following code: ggplot(TablePerCatchmentAndYear,aes(x=NoiseType, y= POA, fill = TempRes)) + geom_boxplot(lwd=0.05) + ylim(c(-1.25, 1)) + theme(legend.position='bottom') + ggtitle('title')+ scale_fill_discrete(name = '') The data that I used for this is the following table: TablePerCatchmentAndYear