similar to: Density curve over a histogram

I am learning ggplot2 commands and I have figured out how to create histograms and density curves but I am not sure how to add a density curve on top of a histogram. Here are the two graphs that I created. ## Histogram t<-rnorm(500) w<-qplot(t, main="Normal Random Sample", fill=I("blue"), colour=I("black"), geom="histogram") w ##Density Curve

Hi R users, I would like to know why these following curve densities don't appear correctly on the histograms. Thank you for your help library(lattice) library(grid) resp <- rnorm(2000) group <- sample(c("G1", "G2", "G3", "G4"), replace = TRUE, size = 1000) histogram(~ resp | group, col="steelblue", panel = function(x, ...){ std

Hello, This is a problem for which there seem to be several solutions online, but not really. My question was about plotting a curve over the histogram. All the previous posts and messages talk about generating a *density histogram*using (freq=F) and then plotting the density curve. However, I find that that seriously distorts my data and the plot becomes confounding to the viewer. I was

i want to plot the histogram and the curve in the same graph.if i have a set of data ,i plot the histogram and also want to see what distribution it was.So i want to plot the curve to know what distribution it like. -- View this message in context: http://www.nabble.com/how-to-plot-the-histogram-and-the-curve-in--the-same-graph-tp20082506p20082506.html Sent from the R help mailing list archive at

I am trying to plot a lognormal density curve on top of an existing histogram. Can anybody suggest a simple way to do this? Even if someone could just explain how to plot a regular normal density curve on top of an existing histogram, it would be a big help. Also, is there some way to search through the R-help archives other than simple browsing? Thank you so much. Your help and time is greatly

Dear List, When I plot a histogram with 'freq=FALSE' and overlay the histogram with a normal pdf curve, everything looks as expected, as follows: x <- rnorm(1000) hist(x, freq=FALSE) curve(dnorm(x), add=TRUE, col="blue") What do I need to do if I want to show the frequencies (freq=TRUE) with the same normal pdf overlay, so that the plot would still look the same? Regards,

Hi all, What parameter should I feed to the hist function to draw a line, not bar graph for a histogram? Smoothed line would be great too. I've looked at curve() for normal distribution but it's not what I need. I need some curve on top of the histogram (fit to the actual data). Just as a way to illustrate, rather than bargraph. Thanks -- Regards, Anh Tran UCLA NeuroOncology Lab

Hi, I am facing the problem that I want to plot a histogram chart set freq to true and overlay with normal or weibull or exponential distribution curve. The sample code is shown as below: >samp<-c(-8.2262,-8.2262,-8.2262,-8.20209,-8.09294,-8.07321,-8.07321, -8.07321,-8.07175,-8.04948,-8.04948,-8.04948,-8.03848,-8.03848,

Hello All,* *I want to draw a histogram with density curve. * *For that simply i created a data called*"x" *and i used the function called * hist(x, col = "blue", freq = FALSE),** *from this function i got a histogram*. *After that , i tried this function* ** lines(density(x), col = "red", lwd = 2 ) *but i could not get the density curve. So, Again i used

Hi, Currently I have a density plot generated with this snippet. Is there a way I can add a line curve on top of it? I mean in one figure __BEGIN__ myhist <- hist(x col="blue", main = "Density Plot", xlab = "Exp Level", ) __END__ - Gundala Viswanath Jakarta - Indonesia

Dear All: One more thing. I want to add the normal curve to the histogram. Is there away to stretch the peak of the curve to the top of the histogram or at least near to the top of the histogram. Please see the code below. Lizard.tail.lengths <- c(6.2, 6.6, 7.1, 7.4, 7.6, 7.9, 8, 8.3, 8.4, 8.5, 8.6,8.8, 8.8, 9.1, 9.2, 9.4, 9.4, 9.7, 9.9, 10.2, 10.4, 10.8,11.3, 11.9) x<-seq(5,12, 0.001)

Currently, I am doing it this way. x <- mtcars$mpg h<-hist(x, breaks=10, col="red", xlab="Miles Per Gallon", main="Histogram with Normal Curve") xfit<-seq(min(x),max(x),length=40) yfit<-dnorm(xfit,mean=mean(x),sd=sd(x)) yfit <- yfit*diff(h$mids[1:2])*length(x) lines(xfit, yfit, col="blue", lwd=2) But since, ggplot2 has more appealing

Dear All, I have a massive dataset from which I would like to draw a histogram. Any ideas on how to accomplish this? Thanks in advance, Paul

Hello, I am trying to fit my histogram to a smooth Gaussian curve(the data closely resembles one except a few bars). This is my code : #!/usr/bin/Rscript out_file = "irc_20M_opencl_test.png" png(out_file) scan("my.csv") -> myvals hist(myvals, breaks = 50, main = "My Distribution",xlab = "My Values") pdens <- density(myvals, na.rm=T) plot(pdens,

Dear all, I am making a barplot as following: barplot(c(1,2,3,5,2,3,1),names.arg=c("100","200","300","400","500","600","700"),xlab="diameter",ylab="flow",main="some title",space=0.1) I am also trying to add a probability density curve, however using lines(density(c(1,2,3,5,2,3,1))) does not give

I have the following data which I tried to draw the probability density plot. Here is the code I have: x <- read.table("mydat.txt"); d <- rep(x$V2,times=x$V3); hist(d,probability=T, xlab="FlowSignal"); But why the y-axis range from 0 to 6, instead of 0 to 1? What's the correct way to plot it? #id flowsignal frequency 1 0.67 1 1 0.70 1 1

I am learning ggplot2 commands specifically qplot for the time being and I have figured out how to create histograms and normal density curves but I am not sure how to add a normal bell curve or other dist. as well on top of a histogram. Here are the two graphs that I created. ## Histogram t<-rnorm(500) w<-qplot(t, main="Normal Random Sample", fill=I("blue"),

Hi Abou, Try this: library(plotrix) curve(rescale(dnorm(x ,mean=mean(Lizard.tail.lengths),sd=sd(Lizard.tail.lengths)), c(0,6)),add=TRUE, col=2, lwd = 2) Jim On Mon, Sep 25, 2017 at 9:35 AM, AbouEl-Makarim Aboueissa <abouelmakarim1962 at gmail.com> wrote: > Dear All: > > One more thing. > > I want to add the normal curve to the histogram. Is there away to stretch > the

Dear People, I have a data set of data x from a probability distribution, and I have a function, mydensity, of the pdf of that distribution. I'm asking for help in superimposing the histogram of x and the plot of mydensity. In the function below, I call truehist and curve, but these are plotted in different figures. I'd like them to be plotted on the same figure, and to use common

Dear all, I cannot find a function which would allow drawing hist and density on the same graph. x <- seq(1,40,1) y <- 2*x+1+5*rnorm(length(x)) hist(y,freq = FALSE) plot(density(y)) thanks a lot for the help [[alternative HTML version deleted]]