similar to: Rename objects based on list

Hi, I have a large amount of data that I would like to create a histogram of and plot and do things with in R. It is pretty much impossible to read the data into R, so I have written a program to bin the data and now have a list of counts in each bin. Is it possible to somehow import this into R and use hist(), so I can, for instance, plot the probability density? I have looked at the help page

Hi, I have a casting/formatting question on hist.POSIXt: The histogram plot from POSIXct works perfect (with help of Prof. Ripley -thanks!). When processing the hist(plot=FALSE) output and then plotting the results over the x-axis (bins) coming from hist(), I lose the date/time labels, getting instead integers displayed. Trying to cast the $breaks with as.POSIXct gives silly results with

Hi, It seems that hist() has a buggy behavior when breaking over "days". The bug can be reproduced in a few steps: > d=data.frame(date=c("2009-01-01", "2009-01-02", "2009-01-02")) > d$date=as.Date(d$date) > d$date [1] "2009-01-01" "2009-01-02" "2009-01-02" > h=hist(d$date, "days") > h$count [1] 3

With R and the hist function, is there a way to make a histogram in which the y axis denotes propotion with respect to a separate sample dataset of the same range instead of frequency? [[alternative HTML version deleted]]

Hi there, I hope this question is not as stupid as the one before ... I tried to shorten my histogram (because the distribution is quite skewed and I simply don't want to see the long tail but still use the histogram plot). How can I do something like this? (The example does not work but I don't know why...) data <- rnorm(100) # as example, of course this is not skewed... h <-

Dear: I want to plot barplot and let bar be in the middle of each x axis category. Do you have this experience? Many Thanks! Xin [[alternative HTML version deleted]]

Hello, all; I get an unexpected result when trying to plot a probability histogram with R1.9.1 on windows xp: #with the following code: > x <- runif(100,0,1) > hist(x) > hist(x, freq=F) > h <- hist(x, freq=F) > summary(h) # Length Class Mode #breaks 11 -none- numeric #counts 10 -none- numeric #intensities 10 -none- numeric #density 10

Hello, I have a problem with the hist() function and showing densities. The densities sum to 50 and not to 1! I use R version 2.9.1 (2009-06-26) and I load the seqinR library. My data is the following vector: [1] 0.1400000 0.2000000 0.2200000 0.2828283 0.1600000 0.1600000 0.3600000 [8] 0.1600000 0.2200000 0.2600000 0.2000000 0.3000000 0.2200000 0.2342342 [15] 0.1800000 0.2200000 0.1600000

I have two large datasets (156K and 2.06M records). Each row has the hour that an event happened, represented by an integer from 0 to 23. R's histogram is combining some data. Here's the command I ran to get the histogram: > histinfo <- hist(crashes$hour, right=FALSE) Here's histinfo: > histinfo $breaks ?[1] ?0 ?1 ?2 ?3 ?4 ?5 ?6 ?7 ?8 ?9 10 11 12 13 14 15 16 17 18 19 20 21

Dear All, I am a undergraduate using R for the first time. It seems like an excellent program and one that I look forward to using a lot over the next few years, but I have hit a very basic problem that I can't solve. I want to produce a standardised histogram, i.e. one where the area under the graph is equal to 1. I look at the manual for the histogram function and find this: freq:

Hello all, I'm trying to make a histogram of the data contained in my dataframe. The summary of the data gives me exactly what I want summary (Data) V1 V2 first001: 3 last001: 9 first002: 3 last002: 7 first003: 2 last003: 6 (Other) :52 (Other): 27 But how do I capture the names and values in vectors so I can plot them?

I have what may be a simple/foolish question, but I've done the due diligence and looked through pages of posts here as well as several of the PDFs on the CRAN site, but haven't been able find what I'm after. I am working with a list of say 3 histogram objects A, B & C, and each histogram is a list of 7 elements. I would like to access $name, the 6th element, of histograms A,B and

Hi, I've had some trouble figuring out how to produce a histogram in R directly given a frequency table or relative frequency table. I've looked through the documentation and mailing list, and have only found information on producing histograms given the original data set. Any help would be appreciated! An example of what I'd like to do would be to take the following frequency table:

Hello! Up to now I have been using hist() to display the distributions. Howevere, I noteiced strange numbers on y (vertical) axis, if I used probability = T or freq = F option. I thought it is a bug and launched the R-bug system and found some posts on that matter. Brian Ripley responded to one, that one should look at truehist() for that. Ok I can use truehist() if I want to see the ratios

Hi, if I dermine the break points using the hist() function and then try to re-use these in a new histogram, R fails. Here is an example of the problem: ##First, plot a histogram: data(islands) foo <- hist(islands,freq=T) ##Now, try plot it again, with the previously determined break points: hist(islands,breaks=foo$breaks,freq=T) ##... this lead to the warning message: Warning message:

Hi, I'm trying to read a .mat file into R (2.11.1) with medium success so far. The file I have is a MATLAB 5.0 MAT-file exported from RiverSurveyor LIVE software (http://www.sontek.com/software.php). I have R.matlab and Rcompression installed and readMat() starts reading the file, as can be seen in verbose mode (hence medium success), but then gives the following error: Error in dim(matrix)

Hi all, In the histogram created with the `hist` command, the label of the y axis reads "Frequency ?. Finding that the ylab key is used to change (localize) that word may seem difficult for people who are beginners either in R or in english. I suggest very minor modifications of the file hist.Rd at https://svn.r-project.org/R/trunk/src/library/graphics/man/hist.Rd. 1) make the default value

There were some questions about hist() a couple of days ago which triggered this post. My question/suggestion is about the y-axis in hist. There are reasons to prefer making the y-axis density=relative frequency/bin width. One reason is that the height of the plot does not depend on the bin width; another is that if your histogram is in density then you can easily superimpose a smooth theoretical

In R0.61, In hist(), should the line rel.freqs <- counts/(sum(x) * diff(breaks)) computing the relative frequencies or height of the rectangles in a histogram not be rel.freqs <- counts/(sum(counts) * diff(breaks)) instead, or do I misunderstand something? Thanks, Philippe -- -------------------------------------------------------- Philippe Lambert Tel:

Is there an easy way (or any way) to determine the size of all the objects in an R workspace. I know that "dim" will work on matrices, "length" will work on lists, but what gives the size of a function? After I have worked for a few days I often get confused about what is what in the workspace, so I'm looking for something like "ls -l", to point me toward