similar to: Space required by object?

Hi folks, Is there a function to show the size of an R object? eg. in Kbytes? Couple months ago Bendix Carstensen posted this marvelous little function lls(), which shows all objects in the current workspace by mode, class and 'size'. This is a wonderful enhancement to the build-in ls() already and I now have it sourced in my Rprofile.site at startup. The only drawback is,

Hello R users -- If I have a dataframe such as the following, named "frame" with the columns intended to be named col1 through col6, > frame col1 col2 cmlo3 col4 col5 col6 [1,] 3 10 2 6 5 7 [2,] 6 8 4 10 7 1 [3,] 7 5 1 3 1 8 [4,] 10 6 5 4 9 2 and I want to correct or otherwise change the

I've changed the heading because this really is another thread. I think it inevitable that there will, in the course of time, be other lists that are devoted, in some shape or form, to the concerns of practitioners (at all levels) who are using R. One development I'd not like to see is fracture along application area lines, allowing those who are comfortable in coteries whose

I bogged down about half way through reading the Green Book, in part because it became increasingly difficult to understand how some of the ideas related to R, as opposed to S (which I have not used). Does any reader know whether there is a document that points out differences between S and R that would be helpful in reading the Green Book? Ideally, perhaps, I need a "crib sheet" to

When preparing a series of histograms I found that hist was combining the two lowest categories or bins, 1 and 2. Specifying breaks, as illustrated below, resulted in the correct histogram: values <- sample(10,500,replace=TRUE) hist(values) hist(values,breaks = 0:10) Apparently, the number of values strictly less than 1 is shown in the first bin (and since none is less than 1,

I am finding complex analyses easier than some elementary operations in R. In particular I want to do some low level exploratory data analyses with data in a data frame but cannot find commands to easily insert, remove (delete), rename, and re-order (arbitrarily, not sort) columns. I see that the micEcon package has an insertCol command, but that is for matrices, not data frames. I have looked

Greetings listeRs - Given a data frame such as times time1 time2 time3 time4 1 70.408543 48.92378 7.399605 95.93050 2 17.231940 27.48530 82.962916 10.20619 3 20.279220 10.33575 66.209290 30.71846 4 NA 53.31993 12.398237 35.65782 5 9.295965 NA 48.929201 NA 6 63.966518 42.16304 1.777342 NA one can use "transform" to

Why will the following command not work sapply(objects(),dim) What does it say about the objects list? What does it say about the dim command? Likewise, the following also does not work all<-ls() for (f in all) print(dim(f)) -- Farrel Buchinsky [[alternative HTML version deleted]]

Dear all, Is there a way we can find the total object.size of all the objects in our R script? The reason we want to do this because we want to know how much memory does our R script require overall. Rprofmem(), doesn't seem to do it. and Unix 'top' command is dynamic and it doesn't give the exact byte size. - Gundala Viswanath Jakarta - Indonesia

I have several data frames, each with six variables and several hundred cases broken out from a larger dataframe by eleven values of a factor called "Division". I have to perform the same analysis on each one. I would like to do it by creating a data frame called data2 eleven times, once with data corresponding to each value of the factor, and performing the same analysis on each of

Greetings guRus -- If a variable, e.g., 'varname', is a character string, e.g. varname <- "datavector", and I want to apply a function, such as table(), to datavector, what syntax or method will do so using only the variable varname? This seems similar to indirect addressing, but I have not seen a method for it in the R manuals. Is there a general name for such indirect

Dear R-Help members, I have a question about how to save to the hard drive the one thousand datasets I generated in a simulation. The datasets are created in a "for" loop that repeatedly creates normally distributed datasets, such as the example below: Library(MASS) for (number in 1:1000) { dataset = mvrnorm(n = 400, mu = c(0,0,0), Sigma =

Hello R List - I have to import Excel files (either as .csv files or using RODBC) into R (2.4.1, Windows) and operate on dates and times (e.g. find minutes between times, change dates to days of week or analyze by weeks of year). The help files for format.Date, strptime, as.POSIX, DateTimeClasses, etc. etc. are informative but perhaps a little terse. I have googled unsuccessfully for a more

Dear R-Gurus, I am preparing a multiple-plot-sheet with 2rows and 2 columns, but there are actually only 3 plots to plot. the 4. part of my sheet should contain a table with simple statistic values like n, mode, standard deviation.... I cannot handle to plot the information in the plot. the summary() function prints it to the xtrem instead of the plot. Here is an example-plot with the 3 plots

I am performing a large (105 variable) factor analysis with factanal, specifying promax rotation. I kow that some loadings over 1.0 are not unsual with that rotation, but I have some as large as 1.2, which seems extreme. I am skirting the assumptions of the model by using responses on a 7-point rating scale as data; I may have to go back and compute polychoric correlations instead of product

When signing off R or trying to save a workspace in Windows XP pro SP2, I receive the following error message - save.image("C:\\Program Files\\R\\R-2.4.1\\Responses3.RData") Error in save.image("C:\\Program Files\\R\\R-2.4.1\\Responses3.RData") : recursive default argument reference Everything else seems to work fine, and the only function I have written

Greetings guRus -- I have successfully queried a large (24,445 rows by 281 cols.) in-house database using the following RODBC query (without the line breaks) testout <- sqlQuery(channel, "select idSchedule,EXCL_Total from dbo.vwC1198_2006_RawData_With_CMPL_EXCL") This returns a dataframe of 24445 rows and two columns (as intended), but the following command testout

>>>>> "KevinW" == Kevin Wright <kwright68 at gmail.com> >>>>> on Mon, 21 Nov 2005 18:13:36 +0100 (CET) writes: KevinW> Full_Name: Kevin Wright KevinW> Version: 2.2.0 KevinW> OS: Windows 2000 ^^^^^^^ this must be part of the problem KevinW> Submission from: (NULL) (170.54.58.4) KevinW> Apologies if

Greetings helpRs -- I would like to use plot() to plot two cumulative distribution curves so that a user of the plot can compare the distributions of the two variables. The following code draws two distributions separately, but I cannot find the instruction necessary to add a second cumulative distribution to the first one. Any suggestion would be very welcome. x1 <-

Hello R users -- I am using matplot to prepare graphs and cannot find a way to use (for example) box(lwd=3) within the matplot command and instead have been setting the box line width after drawing the graph, by using box(lwd = 3). Looking over the ?par options and the matplot() help I do not see a way to set box width within matplot. Is there such an option? Thanks for suggestions,