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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,

Does R provide a function analogous to LS() or str() that reports the storage space, on disk or in memory, required by objects? Ben Fairbank

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

...+61 2 (6125)3473 fax : +61 2(6125)5549 Mathematical Sciences Institute, Room 1194, John Dedman Mathematical Sciences Building (Building 27) Australian National University, Canberra ACT 0200. On 4 Jan 2006, at 10:00 PM, r-help-request@stat.math.ethz.ch wrote: > From: Ben Fairbank <BEN@SSANET.COM> > Date: 4 January 2006 4:42:31 AM > To: R-help@stat.math.ethz.ch > Subject: Re: [R] A comment about R: > > > One implicit point in Kjetil's message is the difficulty of learning > enough of R to make its use a natural and desired "first choice > alternative,...

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

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

...Each of those is a cell mean of 3 values. Would I simply do as follows?: yield<- c(4.54,4.64,5.27,5.81,5.73,7.05,5.81,6.30) sulfur <- c(1,2,3,4,1,2,3,4) nitro <- c(1,1,1,1,2,2,2,2) summary(aov(yield~sulfur*nitro)) Thanks, DM ----- Original Message ---- From: Ben Fairbank <BEN at SSANET.COM> To: David Mackovjak <bejitto101 at yahoo.com> Sent: Wednesday, March 19, 2008 3:14:36 PM Subject: RE: [PS] [R] Two Way ANOVA DM -- I think it would be helpful if you could also tell us what it is you are hoping to find out from the analysis. For example, a statement such as "...

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 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

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

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,

In searching the R help archives I find a number of postings in April of 2005, but nothing since then. If readers are aware of more recent contributions addressing the problems arising from multicollinearity (such as with the bootstrap, jackknife, or other techniques) I would appreciate a reference. Thank you, Ben Fairbank [[alternative HTML version deleted]]

I am trying to optimize in situations such as the following: Given 100 ability test items with such known item values as (1) difficulty, (2) correlation with criterion, (3) position in subject matter taxonomy, (4) illustrated/nonillustrated, (5) abstraction level, and (6) length, I seek to make three 20-item tests that are as nearly identical in their properties (difficulty, illustrations,

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 <-

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

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

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

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