histogram

问题 I have a directory Processed_Data with thousands of hists*****_blinded.root files. Each hists*****_blinded.root contains around 15 graphs and histograms in it. My goal is just to overlap 1 specific histogram sc***** from each file to get the final histogram finalhists_blinded.root which will represent all of those overlapped together. I have tried the following macro: void final() { TCanvas *time = new TCanvas("c1","overlap" ,600,1000); time ->Divide(1,1); time ->cd(1); TH1F *h1 = new TH1F(

问题 I transformed my data from wide-format to long-format using melt() , and my long-format data (df) is shown, as follows: Participant Tests Scores 1 A 8 1 B 7 1 C 1 1 D 6 2 A 9 2 B 5 2 C 2 2 D 5 3 A 6 3 B 2 3 C 3 3 D 8 4 A 5 4 B 3 4 C 1 4 D 9 5 A 8 5 B 4 5 C 5 5 D 8 6 A 7 6 B 5 6 C 6 6 D 7 How can I get all scores for df$Tests[1] (i.e., for each Participant in the Tests = A)? Furthermore, in case I wish to plot the Histogram such as: hist.TestA <- ggplot(df, aes(???)) + theme(legend.position =

问题 I want to display histogram of image color channels. At first my reading of pixels looks like: for(int i=0; i<width; i++) for(int j=0; j<height; j++) { data=writeableRaster.getDataElements(i, j, null); red=colorModel.getRed(data); green=colorModel.getGreen(data); blue=colorModel.getBlue(data); rgb=(red+green+blue)/3; ++redL[red]; ++greenL[green]; ++blueL[blue]; ++rgbL[rgb]; } } I also have additional method for creating chart with given channel colors table: int number = channelHistogram

问题 I have a set of data that looks like that (just way bigger): 2 7 3 9 5 3 2 4 7 3 3 4 2 2 and I would like to produce a histogram with bars at 2 of height (7+4+2), so 13, at 3 of height 13, 5 at 3 and 7 at 3. I hope the question is not too dumb, but the tutorials I found did not discuss this problem. Thanks for any help in advance. 回答1: DF <- read.table(text="2 7 3 9 5 3 2 4 7 3 3 4 2 2") library(ggplot2) ggplot(DF,aes(x=V1,y=V2)) +stat_summary(fun.y=sum,geom="bar") 回答2: If you want to get the

问题 I have a set of data that looks like that (just way bigger): 2 7 3 9 5 3 2 4 7 3 3 4 2 2 and I would like to produce a histogram with bars at 2 of height (7+4+2), so 13, at 3 of height 13, 5 at 3 and 7 at 3. I hope the question is not too dumb, but the tutorials I found did not discuss this problem. Thanks for any help in advance. 回答1: DF <- read.table(text="2 7 3 9 5 3 2 4 7 3 3 4 2 2") library(ggplot2) ggplot(DF,aes(x=V1,y=V2)) +stat_summary(fun.y=sum,geom="bar") 回答2: If you want to get the

问题 This question already has answers here : Fitting a density curve to a histogram in R (5 answers) Closed 3 years ago . I'm trying to overlay a normal distribution curve onto a histogram in R. I know it's a question that's been asked before, but I'm having trouble getting the solutions to work for me. This is my code: hist(input_data$"X109_scalesraw_23", freq = TRUE, breaks = 30, col = "cadetblue", xlim = c(0,30), ylim = c(0,150), main = "023", xlab = "score") 回答1: You can always use curve with

问题 The vertical axis of a histogram is the frequency. However, I want them to multiply by a constant. How do I do that with Matlab? For example: Tickets are sold at 4 gates: North, South, East or West and I want to plot the amount earned at each gate in a histogram to see which gate earned the most. The price of each ticket is $10. I want the histogram output to show the amount earned instead of just number of tickets sold. 回答1: The hist function called with no output assignment will draw the

问题 I am new at using R and I am trying to produce a histogram where the axis shows a sum of another column rather than just a frequency count. example I have a matrix with two columns, RATE and BALANCE. I would like to produce a histogram that shows the sum of balance rather than just record count. hist(mydata$RATE) #only shows frequency. How do i get it to sum mydata$BALANCE I would like to produce a histogram that sums the BALANCE column rather than just doing a record count. something like

问题 This is the problem that I am attempting to solve: Ask the user to enter a bunch of words, as many as they want, until they enter a 0. After that, count how many times each letter appears across all the words, and print out a list of each letter and how many times it appears. Example: Enter word> hello Enter word> lemon Enter word> goodbye Enter word> 0 Letter: h appears 1 times letter: e appears 3 times ... So far I have to put all the words together, and have made comparisons. The problem

问题 Similar to this question, I'd like to to add marginal histograms or boxplots to a xyplot or densityplot using lattice . Is there a way to replace the right and/or top axes with these plots instead? Something like: library(lattice) x <- rnorm(100) y <- rnorm(100) xyplot(x~y, x.top = histogram(~x), # desired y.right = bwplot(~y) # desired ) How could I do this? 回答1: Using ggplot2 with ggExtra works. library(ggplot2) library(ggExtra) p <- ggplot(cars, aes_string('speed', 'dist')) + geom_point()