ggplot2

问题 I am trying to do a graph in r with 3 lines using ggplot, but the third line does not appear in the graph. I used the following code: us_idlpnts <- subset(unvoting, CountryName == "United States of America") rus_idlpnts <- subset(unvoting, CountryName == "Russia") mdn_idl_pnt <- summarize(unvoting, PctAgreeUS = median(PctAgreeUS, na.rm=T), PctAgreeRUSSIA = median(PctAgreeRUSSIA, na.rm=T), idealpoint = median(idealpoint, na.rm=T), Year = median(Year, na.rm= T)) ggplot(NULL, aes(Year,

问题 I am using a dplyr pipeline to clean my df then feed directly into a ggplot. However, I want to plot only one group at a time, so I need to filter to just that group. The problem is, I want the scales to remain constant as if all groups are present. Is it possible to further filter a piped df inside the ggplot() commands? Ex below. # create df set.seed(1) df <- data.frame(matrix(nrow=100,ncol=5)) colnames(df) <- c("year","group","var1","var2","var3") df$year <- rep(1:4,each=25) df$group <-

问题 This question already has answers here : How to set themes globally for ggplot2? (3 answers) Closed 9 months ago . Working with a quite huge R Markdown document, I was wondering whether it is possible to define the the font of my ggplots once in some kind of global setting? Just like I can use theme_set() to define theme_minimal() for all the plots in the document. I tried adding something like this, but it threw an error: theme_set(text = element_text(size=12, family="Times New Roman")) Is

问题 I have some discrete data, which I have plotted in a histogram. I'd like to overlay a Poisson distribution to show the data is roughly Poisson distributed. Imagine the two plots from the code below merging into one plot, that is what I'd like to achieve. # Read data data <- read.csv("data.csv") # Plot data hist(data, prob=TRUE) # Plot Poisson c <- c(0:7) plot(c, dpois(c, mean(data)), type="l") I have tried the curve function: curve(c, dpois(x=c, lambda=mean(data)), add=T) But all I get is

问题 In a previous post, a user showed me how to to plot longitudinal data in R. Here is the code: library(ggplot2) Data <- data.frame( "ID" = c("ABC111", "ABC111", "ABC111", "ABC111", "ABC112", "ABC112", "ABC112", "ABC113", "ABC113", "ABC114", "ABC115"), "color" = c("red", "red", "red", "red", "blue", "blue", "blue", "green", "green", "black", "yellow"), "start_date" = c("2005/01/01", "2006/01/01", "2007/01/01", "2008/01/01", "2009/01/01", "2010/01/01", "2011/01/01", "2012/01/01", "2013/01/01",

问题 In a previous post, a user showed me how to to plot longitudinal data in R. Here is the code: library(ggplot2) Data <- data.frame( "ID" = c("ABC111", "ABC111", "ABC111", "ABC111", "ABC112", "ABC112", "ABC112", "ABC113", "ABC113", "ABC114", "ABC115"), "color" = c("red", "red", "red", "red", "blue", "blue", "blue", "green", "green", "black", "yellow"), "start_date" = c("2005/01/01", "2006/01/01", "2007/01/01", "2008/01/01", "2009/01/01", "2010/01/01", "2011/01/01", "2012/01/01", "2013/01/01",

问题 How can I draw a barplot for means, while controlling for other variables through regression -- in a split-bars-by-vars fashion? My general problem I conduct a research to figure out which fruit is more likable: mango, banana, or apple. To this end, I go ahead and sample 100 people at random. I ask them to rate, on a scale of 1-5, the degree of liking each of the fruits. I also collect some demographic information about them: gender, age, education level, and whether they are colorblind or

问题 How can I draw a barplot for means, while controlling for other variables through regression -- in a split-bars-by-vars fashion? My general problem I conduct a research to figure out which fruit is more likable: mango, banana, or apple. To this end, I go ahead and sample 100 people at random. I ask them to rate, on a scale of 1-5, the degree of liking each of the fruits. I also collect some demographic information about them: gender, age, education level, and whether they are colorblind or

问题 How can I draw a barplot for means, while controlling for other variables through regression -- in a split-bars-by-vars fashion? My general problem I conduct a research to figure out which fruit is more likable: mango, banana, or apple. To this end, I go ahead and sample 100 people at random. I ask them to rate, on a scale of 1-5, the degree of liking each of the fruits. I also collect some demographic information about them: gender, age, education level, and whether they are colorblind or

问题 I'm trying to make multiple lollipop plots using a facet wrap, like in the third code block / example and picture below on this page. However, I can't get the code example to work. Can you please help me see where it is written incorrectly (if at all)? The data: set.seed(1) data <-as.data.frame(matrix( sample( 2:20 , 40 , replace=T) , ncol=10)) colnames(data) <- c("math" , "english" , "biology" , "music" , "R-coding", "data-viz" , "french" , "physic", "statistic", "sport" ) data <-rbind(rep