similar to: readClipboard() from spreadsheet to data.frame with column names?

Hello, I'm interested in moving text from and to the clipboard that cannot necessarily be represented in the native encoding. So, really, this is about Windows. I can successfully read from the clipboard by specifying the format that corresponds to unicode text. From R >=2.7.0, it seems you should also be able to write unicode text to the Windows clipboard.

Hello, I'm interested in moving text from and to the clipboard that cannot necessarily be represented in the native encoding. So, really, this is about Windows. I can successfully read from the clipboard by specifying the format that corresponds to unicode text. From R >=2.7.0, it seems you should also be able to write unicode text to the Windows clipboard.

Hi, I have the following data and there is no binary operator contained, however, I still receive the error message when running unitrootTest function, could someone give me a guidance on it?? >readClipboard() [1] "245" "246" "261.5" "275.5" "307" "284.5" "289" "313.5" "323.75"

Hi, Typical things you read when new to stats are cautions about using a t-statistic when comparing independent samples. You are steered toward a pooled test or welch's approximation of the degrees of freedom in order to make the distribution a t-distribution. However, most texts give no information why you have to do this. So I thought I try a little experiment which is outlined here.

Hello, This may be a trivial question, but I don't find the answer in R online help. Under Windows, I can copy/paste to the clipboard using readClipboard()/writeClipboard(), or something like cat(..., file = "clipboard"). Are there equivalent function for other platforms? Best, Philippe Grosjean ..............................................<??}))><........ ) ) ) ) ) ( (

http://bugzilla.mindrot.org/show_bug.cgi?id=747 Summary: host authentication requires RSA1 keys Product: Portable OpenSSH Version: 3.7.1p1 Platform: All OS/Version: Linux Status: NEW Severity: normal Priority: P2 Component: Documentation AssignedTo: openssh-bugs at mindrot.org ReportedBy:

I try to display the grouping variable in coplot. It work, but it's special solution and rather ugly. Any better idea? # Simulate my data frame data(state) x77<-data.frame(state.x77) x77$region<-state.region coplot(Life.Exp ~ Income | region, data=x77, show.given=F, subscripts=T, panel = function(x, y,subscripts, ...) { panel.smooth(x, y, span = 1., ...)

I tried: > data(state.x77) Warning message: In data(state.x77) : data set 'state.x77' not found data(iris) seems to work fine, but the other state datasets (which I haven’t every tried before) don’t seem to be available on my windows 7 running R 2.12.2 installation. ?state brings up the state help page page which suggest the dataset should still be there. In help there still seems to

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Hi R users and developers. I compile the R version 2.8.1 Patched (2009-03-18 r48193) On my UBUNTU linux distribution. But hen I ask for the aggregate example it fails. What am I missing? example(aggregate) aggrgt> ## Compute the averages for the variables in 'state.x77', grouped aggrgt> ## according to the region (Northeast, South, North Central, West) that aggrgt> ## each

Hi R developers and debian users: Finally I found how to work with aggregate() function on the last patched version fo R. I you use this command it fails: aggregate(state.x77, list(Region = state.region), mean) But if you modify it in this way, it works!: aggregate(state.x77, list(Region = state.region), function(x) mean(x) ) Is it necesary to change the example? What is changing in

Hi R developers and debian users: Finally I found how to work with aggregate() function on the last patched version fo R. I you use this command it fails: aggregate(state.x77, list(Region = state.region), mean) But if you modify it in this way, it works!: aggregate(state.x77, list(Region = state.region), function(x) mean(x) ) Is it necesary to change the example? What is changing in

Hi R users and developers on debian platforms. I compile the R version 2.8.1 Patched (2009-03-18 r48193) on my UBUNTU linux distribution. But when I ask for the aggregate example it fails. What am I missing? example(aggregate) aggrgt> ## Compute the averages for the variables in 'state.x77',grouped aggrgt> ## according to the region (Northeast, South, North Central,West) that

http://bugzilla.mindrot.org/show_bug.cgi?id=746 Summary: host authentication requires RSA1 keys Product: Portable OpenSSH Version: 3.7p1 Platform: All OS/Version: Linux Status: NEW Severity: normal Priority: P2 Component: Documentation AssignedTo: openssh-bugs at mindrot.org ReportedBy:

R 1.4.0 ?stars has scale: logical flag: if `TRUE', the columns of the data matrix are scaled independently so that the maximum value in each column is 1 and the minimum is 0. If `FALSE', the presumption is that the data have been scaled by some other algorithm to the range [0,1]. but the code has if (scale) { x <- sweep(x, 2,

I have a question for our European readers: how common is it to use commas as decimal points in spread-sheet and statistics applications? Is it an inconvenience to require that all data use a period as decimal point? (i.e., 3.14159 rather than 3,14159). We're trying to make our program as foolproof as possible, and would prefer not to give users a chance to have commas as both decimal

Hello, I managed to install playwith package and all its prerequisites. My R version is R 2.14: R version 2.14.1 (2011-12-22) Copyright (C) 2011 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: i486-pc-linux-gnu (32-bit) All my packages were updated, and recently installed. When I attempt to use the command playwith I get the following error message: >

These utility functions will be used in the OCaml inspection code. --- daemon/daemon_utils_tests.ml | 15 +++++++ daemon/utils.ml | 100 +++++++++++++++++++++++++++++++++++++++++++ daemon/utils.mli | 12 ++++++ 3 files changed, 127 insertions(+) diff --git a/daemon/daemon_utils_tests.ml b/daemon/daemon_utils_tests.ml index 892509d89..b1f02de30 100644 ---

Hi all, I am trying to make tiff files of lattice plots at a resolution greater than 300 dpi required by a journal (PLoS ONE). I have tried both the tiff and bitmap functions. tiff keeps panel colors but reduces axes and tick labels so they are nearly invisible. bitmap maintains correct label size but only produces greyscale. Regular plots work fine with tiff; the problem is only with lattice

My apologies for not including sessionInfo(), and I'm a bit angry at myself for that. Retrying in a fresh session of R, I get different results. More specifically, I get the expected result where accuracy is the same in the first and the last line. As I didn't include my sessionInfo() in my previous mail, I can't figure out why I now have a different result. So I'm positive