ggplot2

问题 I can draw relative frequency histogram in R, using lattice package: a <- runif(100) library(lattice) histogram(a) I want to get the same graph in ggplot . I tried dt <- data.frame(a) ggplot(dt, aes(x = a)) + geom_bar(aes(y = ..prop..))+ scale_y_continuous(labels=percent) but it doesn't work like that. What I should change in the code? Calculating relative frequency before graph is not an option for me. 回答1: You want a histogram, not a barplot, so: ggplot(dt, aes(x = a)) + geom_histogram(aes

问题 I am trying to export ggplots in my Shiny App into a single PDF file using the download handler but it is not working. The PDF file is getting saved but it gives me only the last ggplot instead of all three. Any help would be appreciated! Below is the code of the server: shinyServer(function(input, output, session) { plotinput() { df<-data.frame(q=c(1,3,5,7,9),w=c(2,4,6,8,10),z=c(1,2,3,4,5)) ggplot(df,aes(x=q,y=w))+geom_point() ggplot(df,aes(x=z,y=w))+geom_point() ggplot(df,aes(x=q,y=z))+geom

问题 I am not a Pro R user but I already tried multiple things and can't find a solution to the problem. I created a bar graph for 2x2 ANOVA including error bars, APA theme and custom colors based on this website: https://sakaluk.wordpress.com/2015/08/27/6-make-it-pretty-plotting-2-way-interactions-with-ggplot2/ It works nicely but the y-axis starts at 0 although my scale only ranges from 1 - 7. I am trying to adapt the axis but I get strange errors. This is what I did: # see https://sakaluk

问题 I am trying to export ggplots in my Shiny App into a single PDF file using the download handler but it is not working. The PDF file is getting saved but it gives me only the last ggplot instead of all three. Any help would be appreciated! Below is the code of the server: shinyServer(function(input, output, session) { plotinput() { df<-data.frame(q=c(1,3,5,7,9),w=c(2,4,6,8,10),z=c(1,2,3,4,5)) ggplot(df,aes(x=q,y=w))+geom_point() ggplot(df,aes(x=z,y=w))+geom_point() ggplot(df,aes(x=q,y=z))+geom

问题 I am trying in vain to get the segments within each bar of the bar chart to order based on the value (largest value within a bar on the bottom, smallest on top). I've researched this and would think this should work, but something is not right and I can't find the issue. I tried this solution here, but no luck. Here is a reproducible example: library(dplyr) my_repro <- structure(list(Date = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = "2020-04-01", class =

问题 I've seen several questions posted about formatting the date and haven't been able to find one to resolve the issue I'm having here. My data ranges from May-November from 2008-2015 and then drops May and goes from June-November from 2016-2018. My goal is to create a plot to show the months sampled for each year and eliminate the months that were not sampled. I asked a similar question here: How to plot mean density by year and month But this answer does not resolve the date issue. I've tried

问题 In the above graph two vertical and horizontal line segments are drawn which will intersect the regression line. How to write code to draw those lines to find the intersecting point? 回答1: The formula for each regression line is printed on the plot, so we can get the information by simple algebra. First we will plot each regression line: x <- c(0, 22) y0 <- 27.46 + 0.31 * x y5 <- 40.18 + 0.49 * x y10 <- 55.54 + 0.67 * x y15 <- 71.63 + 0.84 * x plot(x, y0, type = "l", ylim = c(0, 105), xlim = c

问题 This question already has answers here : Building a box plot from all columns of data frame with column names on x in ggplot2 [duplicate] (1 answer) Multiple boxplots using ggplot (1 answer) Closed 3 years ago . EDIT: Added the boxplot generated with standard boxplot() function. Given the iris dataste, the following code: boxplot(iris[,]) Creates a boxplot with five boxes, one for each variable, without splitting them into categories such as, for instance, species. While this is simple enough

问题 This question already has answers here : Building a box plot from all columns of data frame with column names on x in ggplot2 [duplicate] (1 answer) Multiple boxplots using ggplot (1 answer) Closed 3 years ago . EDIT: Added the boxplot generated with standard boxplot() function. Given the iris dataste, the following code: boxplot(iris[,]) Creates a boxplot with five boxes, one for each variable, without splitting them into categories such as, for instance, species. While this is simple enough

问题 For some reason, I can't seem to be able to add correct proportion labels to a ggplot by using stat_count . The code below returns labels that display 100% for all categories, even though I'm using ..prop.. . Should I use something else instead of stat_count ? library(tidyverse) diamonds %>% ggplot(aes(color, fill=cut)) + geom_bar(position = 'fill') + stat_count(aes(label= scales::percent(..prop..)), geom = 'text', position = position_fill(vjust = 0.5)) I know this can also be accomplished by