similar to: tabulate can accept NA values?

Hi, I'd like to ask you a question again. It is basically about data frames, NAs and tabulate function. I have this data frame. I already used this in one of the previous questions of mine. It intentionally looks this simple, my real 'df' dataframe is much bigger actually and again, I am not willing to annoy anyone with huge databases... So, my database: id

Peter, I thought this one was noted and fixed, but I could be wrong. R : Copyright 1999, The R Development Core Team Version 0.63.3 (March 6, 1999) .... [Previously saved workspace restored] > tabulate(1:10, 5) Process R:1 segmentation fault at Sat Apr 3 17:48:34 1999 -- (The following contact details become official on 1 May 1999, but the email

How could I get the code of the inner function ( written in C, I guess ) of R_tabulate? This function is used by R function tabulate. Thank you. [[alternative HTML version deleted]]

Hi all, I have a question about apply function. Is that possible to pass some non-default arguments in the function we want to apply ? For example: if "mat" is a matrix and I want to use the "tabulate" function on its row. The command apply(mat,1,tabulate) works but I have problem with this one apply(mat, 1, tabulate(nbins=4)). Any clue ? Thanks, Eric -- Eric

Hi, I'm wondering how can I change the position of xlab in truehist. For example, the following code creats a histogram with 4 bins for my discrete data. I want each bin to be labelled as 0, 1, 2, or 3 in the middle, so that it's clear each bin corresponds to each of the discrete case. I was thinking of first delete xlab and then add marks myself, but it doesn't look like it's

Dear R users, I'm wanting to sample from the negative binomial distribution using the rnegbin function from the MASS library to create artificial samples for the purpose of doing some power calculations. However, I would like to work with samples that come from a negative binomial distribution that includes only values greater than or equal to 1 (a truncated negative binomial), and I

Dear R-wizards, I'm trying to plot "binned scatterplots", or 2d histograms, if you wish, for a number of groups by using the lattice functionality it works fine for one group at a time, and probably I could find a work-around, but I prefer to do it the elegant way here's an example of what I want, what I tried and where it goes wrong: require(gregmisc) require(lattice) #toy

Is there a missing value constant defined for R_xlen_t, cf. NA_INTEGER (== R_NaInt == INT_MIN) for int(eger)? If not, is it correct to assume that missing values should be taken care/tested for before coercing from int or double? Thank you, Henrik

Hi, To clarify the default behavior that Boris is referencing below, note the definition of the 'bin' argument to the tabulate() function: bin: a numeric vector ***(of positive integers)***, or a factor. Long vectors are supported. I added the asterisks for emphasis. This is also noted in the examples used for the function in ?tabulate at the bottom of the help page. The second

Dear R-Developers, please find attached a set of drafted functions for flat file import and export, partially extending existing functions, partially completely written as new code. I thought you might be interested in those functions and the accompanying utilities for padding and trimming. Main features are - supports several formats, i.e. fixed width and CSV (with one exception) - supports

Hello, I have created two histograms with: hist2d(gps2, nbins=200, col = c("white",heat.colors(16))) Both of them have the same range and the same number of bins. Now I would like to compare them bin by bin and plot the results. Could someone please tell me how to do that. I searched the man pages and the web, but couldn't find anything. Thank you very much. Phil

Hi, table1D() below can be up to 60x faster than base::table() for the 1D case. Here are the detailed speedups compared to base::table(). o With a logical vector of length 5M: 11x faster (or more if 'useNA="always"') o With factor/integer/numeric/character of length 1M and 9 levels (or 9 distinct values for non-factors):

I'm working with a large dataset - large enough that when I do a scatter plot the points all blur together, so I want to plot their density by color - a heat map or something like that. I've used smoothScatter for tasks like this, but the problem is that my current dataset really only looks good on a log-log scale. When I do the following command smoothScatter( data,

I've had a need for multinomial "random number generation" occasionally. And other people too. The following code is currently in the (very small ``not very high importance'') CRAN package normix --- which I will rename to "nor1mix" very seen because of a ``name registration'' problem I want to add "this" (well the functionality) to a

Hello everyone, I need to create and work with some big matrices that actually have somewhat over 2 million columns and 117 rows. To do some calculations on such big matrices R just needs too much memory for my PC (4GB installed). So I need a solution to work with large datasets. I'm trying to use the ff-package but I don't think I really understand the whole functionality of the

Hello, I have found that in smoothScatter it is not possible to reverse the axes plotted (R version 2.9.0) .   It appears that this arises from the hard coding of xlim and ylim in smoothscatter.R in the lines : x <- x[ xlim[1] <= x[,1] & x[,1] <=xlim[2], ]   (line  number 25) and x <- x[ ylim[1] <= x[,2] & x[,2] <= ylim[2], ]  (line number 31) This results in a x

Hi, Is this a bug in truehist()? > library(MASS) > x <- rep(1, 10) > truehist(x) Error in pretty(data, nbins) : invalid 'n' value Thanks, Gad > R.version platform i486-pc-linux-gnu arch i486 os linux-gnu system i486, linux-gnu status major 2 minor 4.1 year 2006 month 12 day 18 svn

Hi, Is this a bug in truehist()? > library(MASS) > x <- rep(1, 10) > truehist(x) Error in pretty(data, nbins) : invalid 'n' value Thanks, Gad > R.version platform i486-pc-linux-gnu arch i486 os linux-gnu system i486, linux-gnu status major 2 minor 4.1 year 2006 month 12 day 18 svn

My R installation (Mac OS9.2.2) is working, but when I try to run the examples from Venables & Ripley (p. 6): R : Copyright 2001, The R Development Core Team Version 1.4.0 (2001-12-19) ... > library(MASS) > x<-rnorm(1000) > y<-rnorm(1000) > truehist(c(x,y+3),nbins=25) % Plots nicely > dd<-con2tr(kde2d(x,y)) % Doesn't complain > contourplot(z ~ x + y,

Hello fellow R users, I wanted to view the density on the standard deviation scale of a gamma(0.001, 0.001) prior for the precision. I did this as seen in the code below and found that for some reason rgamma is giving many values equal to zero, which is strange since a gamma distribution is continuous. What is going on here? Thanks for any help in advance. Greg > x1 <- rgamma(10000,