boxplot

My input table has two columns like this: x y 1 187 2 235 3 857 3 253 2 955 1 267 I want to make a boxplot of the y values for each individual x value. The x values are limited to 1, 2, 3. Here is my R code: data=read.table("input.txt") arr=array(dim=3) for (i in 1:3) { arr[i]=data[data.x==i,"y"] // This line raises warnings. } boxplot(arr) How to correct my code? foo <- data.frame(x=rep(1:5,each=20),y=rnorm(100)) with(foo,boxplot(y~x)) 来源： https://stackoverflow.com/questions/30750049/in-r-how-to-make-a-boxplot

I'm new to R and have been trying to make a boxplot. A part of the data I'm using is shown h1 h2 h3 h4 h5 h6 h7 h8 h9 h10 1 0.003719430 0.002975544 0.003049933 0.003421876 0.003421876 0.003347487 0.003645042 0.003496264 0.007364472 0.009075410 2 0.003400540 0.002749373 0.003038781 0.003328188 0.003328188 0.003400540 0.003472892 0.003400540 0.007741656 0.009333398 3 0.003741387 0.002918282 0.003142765 0.003367248 0.003367248 0.003367248 0.003666559 0.003516904 0.008081396 0.008156223 4 0.003870634 0.002884002 0.003187581 0.003339370 0.003567055 0.003415265 0.003794739 0.003491160 0.008348426 0

I have a IMDB dataset and trying to make a boxplot of a film's ratings. I've successfully loaded the dataset and tried to make the boxplot but it produced a really weird result. It looked as it tried to make a boxplot for all the films and not just the one selected. boxplot(rating ~ title, data=imdb[imdb$title == "Top Gun (1986)", ]) The graph produced: As you can see the y axis looks as if it contained films that aren't in the filtered dataset at all (I selected those via title). Factors retain their levels even after subsetting, you can drop those that are unused with droplevels : boxplot

Bonjour All, I need help to find a solution to labeling the scatterplot in boxplot. As you can see below, there is two data, first is the data of all macrocosmes, and second is the mean each macrocosmes. Tab1 // query result 1 2 3 4 5 6 1 13.2089 13.3161 13.2497 13.2268 13.2209 11.6036 2 13.2923 13.3869 13.2950 13.2876 13.2922 11.7044 3 13.4493 13.5394 13.4450 13.4735 13.4689 11.9483 means 1 15.43801 15.38659 15.23252 15.50707 15.67684 15.25383 My problem is, how to show the label in each point in the graph two. i want to labeling each point with their no.macrocosme. This is my little code :

Let's consider this data: df = data.frame('score'=round(runif(15, 1, 10)), 'group'=paste0("a",rep(c(1,2,3),each=5)), 'category'=rep(c("big", "big", "big", "big", "small"), 3)) I would like to plot boxplots of this data with ggplot2 . What i want is: boxplot(score~group), but with the boxplots arranged according to the mean of the "big" individuals of each group. I can't figure it out in a simple way, without creating new variables. OK to use Dplyr. Thanks. I don't know if this qualifies as a simple way, I personally find it simple, but I use dplyr to find the means: #find the means for each

My data set is like this: a python list with 6 numbers [23948.30, 23946.20, 23961.20, 23971.70, 23956.30, 23987.30] I want them to be be a horizontal box plot above an x axis with[23855 and 24472] as the limit of the x axis (with no y axis). The x axis will also contain points in the data. (so the box plot and x axis have the same scale) I also want the box plot show the mean number in picture. Now I can only get the horizontal box plot. (And I also want the x-axis show the whole number instead of xx+2.394e) Here is my code now: ` def box_plot(circ_list, wear_limit): print circ_list print wear