similar to: Histogram

Dear All, I hope you don't mind helping me with this small issue. I haven't been using R in years and I'm trying to fill in a matrix with the output of a function (I'm probably using the Matlab logic here and it's not working). Here is my code: for (i in 1:length(input)){ out[i,1:3] <- MyFunction(input[i,1],input[i,2], input[i,3]) out[i,4:6] <-

Hallo, I have an other problem, I have this vector signData with an alternation of 1 and -1 that corrispond to the duration of two different percepts. I extracted the durations like this: signData<- scan("dataTR10.txt") dur<-rle(signData)$length Now I would like to extract only the positive duration, e.g. signData <- c(1,1,1,1,-1,-1,-1,1,1,-1,-1) posduration <- c(4,2) I

Hi, I need your help!! I imported a big coloumn vector from a txt file but it results as mode :"list" I want to change it in numeric otherwise I can't do my analysis. This is what i get: mode (data) <- "double" Error in eval(expr, envir, enclos) : (list) object cannot be coerced to type 'double' > Thanks a lot!!! Alessandra -- View this message in

Hallo, I have a vector of several iterations and I have to remove /filter out all the values < than 10, how can I do this? Thanks a lot Alessandra -- View this message in context: http://www.nabble.com/removing-value-from-a-vector-tp24250608p24250608.html Sent from the R help mailing list archive at Nabble.com.

Hi, Is there a way to recursively change the variables imported with read.table(..) - and then attached with attach(..) - from as.factor to as.integer? I have about 9 variables that are now recognized as factors but I need to do statistics on them so I need to change them in as.integer. It works, but I wonder if there is a way to to this for all the variables in one go. Thanks a lot for your

I intend to draw a plot of y against x. In the background of this graph I wish to creat a histogram of the horizontal variable x. Does any expert know how to produce such a plot? [[alternative HTML version deleted]]

Hi All, Here is the problem: I'm trying to generate a number of Fourier Descriptors figures for an experiment. All I need is that they are created within a loop and saved with sequential names (e.g., s1_1.png, s1_2.png etc..) in my directory. I created a nested loop with a counter for the different amplitudes for the actual shapes and a counter for the file names. This script: *count

In conducting studies of animal orientation and displacement, I need to produce circular histograms of angles (bearings in radians 0-2pi) where the centre of the circle indicates very few observations for a given bin of angles and outwardly concentric circles indicate greater frequencies of observations for a given bin of angles. I'd like not to have to write the function myself but I

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]]

Hello, I wanted to know if there was way to convert a histogram of a data-set to a kernel density estimate directly in R ? Specifically, I have a histogram [bins, counts] of samples {X1 ... XN} of a quantized variable X where there is one bin for each level of X, and I'ld like to directly get a kde estimate of the pdf of X from the histogram. Therefore, there is no additional quantization of

Hi all, Please consider the following code: require(plotrix) l <- list(rnorm(50),rnorm(50,sd=2),rnorm(50,mean=3)) multhist(l) I have two things I need help with: (1) In the output, there are empty spaces on the x-axis. How would I eliminate these spaces? I want a nice, smooth, empty-spaceless x-axis. (2) How could I add tracing lines to each histogram? I am undoubtedly using the wrong

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 =

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

I know that I can get a count of histogram bins in base R with plot=FALSE. However, I'd like to do the same thing with lattice. The problem is that I've set up shingles, and I'd like to get the count within each bin within each shingle. plot=FALSE doesn't seem to do it. [[alternative HTML version deleted]]

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

Hi there, I'm new to R but I thought this is the most likely place I could get advice or hints w.r.t the following problem: I have a series of measurements xi with associated uncertainties dxi. I would like to construct the probability density histogram of this data where each density estimate has an associated error that is derived from the dxi. In other words, for large dxi the

Searched my R reference docs*, and the Rseek, but evidently I've overlooked this capabilty.    Is it possible to produce a 3d Barplot using R?   For example would like to have a three axis bar plot - \ x-axis = location(discrete), y-axis = data value, z-axis = frequency of value occurance (of location and value)   Would also if could also do something like what "qplot" allows,

Hi I have two lots of numbers which I would like to histogram using the hist() function. For comparative reasons, I want them to be on the same scale, which I can use the xlim and ylim options to achieve. However, having them on the same scale is meaningless unless they have the same "breaks". Consulting the documentation, there are 4 ways of defining the number of breaks, only one

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)

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