similar to: how to make a histogram with non-numeric x's?

Hi list, After a lot of tweaking i have managed to create a histogram with an overlaying density plot. The histogram shows a sample of birth weights of babies and the density plot shows birth weights from a much larger reference populaton. My data is divided in 0.1 Kg bins so in the code below binweigh=0.1. The trouble with the current graph is that it is not very clear since the density plot

I have a column of 1000 datapoints from the normal distribution with mean 2 and variance 4. How can I get a histogram of these observations with 20 bins with each bin having 50 observations? -- Thanks, Jim. [[alternative HTML version deleted]]

I'm trying to create a histogram from the following code, but my data keeps adding the Num vector and plotting that. My data in the CSV file is just one vector. Does anyone know why? Thanks Conrad SPXdf = data.frame(read.csv(file = "SPX.csv", header = TRUE, sep = ",", dec = ".", fill = TRUE)) Max = max(SPXdf[,2]) Min = min(SPXdf[,2]) Count =

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

Is it possible to change the x-axis values in a histogram to reflect binned values? Here are my data: histexample<-c(6,7,7,8,8,8,9,9,9,9,9,10,10,10,10,10,10,10,11,11,11,11,11,11,12,12,12,12,13,13,13,14,14,14,15,16) hist(histexample) Now, I'll bin pairs of adjacent values together (e.g., 5-6, 7-8, 9-10, 11-12, 13-14, 15-16) using the following bins<-c(4.5,6.5,8.5,10.5,12.5,14.5,16.5)

Hallo, How can I have the control of the width of each bin in the histogram? I would like to plot my data modifying the number and the width of the bins. Is there a good pdf or manual where i can learn to use the plot/hist in R very well? I find the help not always clear Thanks a lot Ale -- View this message in context: http://www.nabble.com/Histogram-tp24325261p24325261.html Sent from the R

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, Short Version: Is there a function to re-bin a histogram to new, broader bins? Long version: I'm trying to create a histogram, however my input-data is itself in the form of a fine-grained histogram, i.e. numbers of counts in regular one-second bins. I want to produce a histogram of, say, 10-minute bins (though possibly irregular bins also). I suppose I could re-create a data set as

been puzzling over this for a day. Summary integer variable to use with histogram, 170,000 rows. Value is day of year. Hist works, lattice histogram with nint does not work (spurious spikes in display), lattice histogram using breaks=c(0:365) works fine. Spike values appear to be sum of two adjacent bins. Want to know if this is a familiar problem, and what the recommended work-around is.

Dear list, I'm new to R, please bear with my silly questions. I'm trying to get an understanding of why the results I get from a call to hist() are not as I thought I would get. When I use the parameter freq=FALSE, I think the plot will contain bars that none of them is larger than 1, because they're probabilities. But for my code, the bars exceeded 1. The actual data seems

Folks: Say I have a set of histogram breaks: breaks=c(1:10,15) # With bin ids: bin_ids=1:(length(breaks)-1) # and some data (note that some of it falls outside the breaks: data=runif(min=1,max=20,n=100) *** What is the MOST EFFICIENT way to "classify" data into the histogram bins (return the bin_ids) and, say, return NA if the value falls outside of the bins. By classify, I mean

Hello, To indicate probability densities instead of counts on a histogram, I specify freq = FALSE. However, I expect that summing all top y coordinates over all the intervals of the histogram will provide 1. 1) v <- c(0.2885, 0.2988, 0.3139, 0.2615, 0.3179, 0.3163, 0.2583, 0.3052, 0.2527, 0.3147, 0.3235, 0.2408, 0.2480, 0.3108, 0.3577, 0.2829, 0.2694, 0.3275, 0.3314, 0.2639, 0.3076,

Hi, I want to be able to plot a single histogram of a measured trait with trait values from two conditions on the same histogram to allow easy comparison. I have previously done this in excel by plotting the two series on a single bargraph having calculated frequencies in bins. You then get one condition plotted immediately to the right of the other. I hope that makes sense? I don't

Hello! Thanks for reading this request for assistance. I have a question regarding creating a histogram-like figure from data that are not currently in the correct format for the "hist" command. Specifically, my data have been processed and are in a matrix with columns containing the variables of interest and separate columns containing the number of times this variable was

Dear colleagues, I have extracted the dates of several news stories from a newspaper data base to chart coverage trends of an issue over time. They are in a data frame that looks just like one generated by the reproducible code below. I can already generate a histogram of the dates with various intervals (months, quarters, weeks years) using hist.Date. However, there are two other

hi all : i have the data below and then below that, i call the hist function three times using the Scott method for the widths of the bins. the bin width is different for the three histograms but I would like it to always be 0.05 regfardless of the data set being histogrammed. I'm sure there must be a manual way to do this which is fine with me. i tried breaks=0.05 but it wasn't happy

Is there a simple way to plot a histogram with colors? For example, suppose I generate random points in the N(2,1) distribution: x <- rnorm(100000, mean = 2, sd = 1) Now I would like to plot the histogram: hist(x) but I would like to show the bars with x < 0 in red, and the bars with x >= 0 in lightgreen. Is there any simple way to do it? I think I can do it in two steps:

Hello, I have problem running the histogram function "hist". The area under the histogram is much lower than 1. Could anyone tell me what the problem is? Thanks, (The total number of observation is 992 (close to 1000), so the probability that 0<Y1<35 is approximately 0.277) miao rm(list=ls()) par(mfrow=c(1, 1)) Y <- cbind(matrix(35*0.5,1,277), matrix(35*1.5, 1, 146),

Hi All, I have problem to plot histogram. What I did is: export a .csv file from PSQL database's table. so, inside this .csv file it looks like: 31.845 24.598 29.1223 24.715 23.1847 24.2321 25.2995 23.4261 30.7873 ...... Then, I use command: score<- read.csv('file.csv', header = FALSE,sep = ",") hist(score, main = "score") it gives error msg: Error in

Hi! I have a dataset that looks like this: 0.0 14 0.0 3 0.9 12 0.73 15 0.78 2 1.0 15 0.3 2 0.32 8 ...and so on. I.e. a value between 0 and 1, and a number I would like to plot this in a histogram-like manner. I would like to have a set of bins, each 0.1 wide, and plot the sum of values in column 2 that falls within each bin. I.e, in this case I would like the first bin, 0.0, to have the