similar to: windows data editor changes dimensions displayed data frames

On Fri, 09 May 2003 11:34:08 +0300, Bernd Ebersberger <bernd.ebersberger@vtt.fi> wrote: >dear R-tists, > >i am experiencing a problem with the data editor in the windows version of >R 1.6.1 envoked with the command 'fix'. > >the data editor changes the size of large data frames. I can confirm this in the current R-patched. I'll take a look. It might be that

And I can confirm it with platform i686-pc-linux-gnu arch i686 os linux-gnu system i686, linux-gnu status major 1 minor 7.0 year 2003 month 04 day 16 language R so it is not a Windows issue. Cheers, Robert Cunningham Duncan

dear R-tists, i want to graph information for the German Federal States (Bundeslaender) using the maps package. unfortunately there is no maps for the German Bundeslaender. does anyone have an idea / a source where to get map data that can be used in the maps package that graphs structures below the country level. in the long run it would also be interesting to integrate Swiss Cantons and

dear R-tists, im an struggling with labeling ticks of the axis in a ggplot. i would like to print the text associated with the ticks being ploted with a 90 degree angle. how can i possibly do this? cheers. bernd. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Bernd Ebersberger Management Center Innsbruck, Austria [[alternative HTML version deleted]]

Hi all I have a data frame with duplicate columns and i want to remove duplicates by adding rows in each group of duplicates, but have lots of NA's. Data: dfrm <- data.frame(a = 1:4, b= 1:4, cc= 1:4, dd=1:10, ee=1:4) names(dfrm) <- c("a", "a", "b", "b", "b") dfrm[3,2:3]<-NA dfrm a a b b b 1 1 1 1 1 1 2 2 2 2 2 2 3

I would like to do some operations inside a function using only one value for the last dimension of a table/matrix: tabfn <- function (dfrm, facvec, YN ="event"){ return( Etbl <- do.call(table, dfrm[ , c(facvec, "event") ]) ) # just want Etbl[,,,"TRUE"] or Etbl[,, "TRUE"] or Etbl[,"TRUE"] }

Dear R-brains, I'm rather new to state-space models and would benefit from the extra confidence in using the excellent package sspir. In a one-factor model, If I am trying to do a simple regression where I assume the intercept is constant and the 'Beta' is changing, how do I do that? How do i Initialize the filter (i.e. what is appropriate to set m0, and C0 for the example below)?

This seems like it should be simple but I can't get it to work properly. I'm starting with a data frame like this: Tract Pct Totpop 1 0.05 4000 2 0.03 3500 3 0.01 4500 4 0.12 4100 5 0.21 3900 6 0.04 4250 7 0.07 5100 8 0.09

Well, here's one way to do it: (dat is your example data frame) Cutoff <- seq(0, .15, .01) Pop <- with(dat, sapply(Cutoff, \(p)sum(Totpop[Pct >= p]))) I think there must be a more efficient way to do it with cumsum(), though. Cheers, Bert On Sat, Oct 14, 2023 at 12:53?AM Jason Stout, M.D. <jason.stout at duke.edu> wrote: > > This seems like it should be simple but I

> On Jun 22, 2017, at 11:22 AM, Amrith Deepak <adeepak at apple.com> wrote: > > Hi, > > I am using Spark and the Sparklyr library in R. > > I have a file with several lines. For example > > A B C > awer.ttp.net Code 554 > abcd.ttp.net Code 747 > asdf.ttp.net Part 554 > xyz.ttp.net Part 747 > I

This function won?t work with objects in spark as you can?t do a dfda$a in spark as it?s not stored as a local variable. Thanks, Amrith > On Jun 22, 2017, at 4:15 PM, David Winsemius <dwinsemius at comcast.net> wrote: > > >> On Jun 22, 2017, at 11:22 AM, Amrith Deepak <adeepak at apple.com> wrote: >> >> Hi, >> >> I am using Spark and the

Hi there, Just wondering why my post was rejected? cheersRachel Subject: repeating autocovariate functions From: r-help-owner@r-project.org To: moyble@hotmail.com Date: Sat, 2 Feb 2013 02:56:27 +0100 Message rejected by filter rule match --Forwarded Message Attachment-- Date: Fri, 1 Feb 2013 17:56:14 -0800 From: moyble@hotmail.com To: r-help@r-project.org Subject: repeating autocovariate

That's very helpful and instructive, thank you! Jason Stout, MD, MHS Box 102359-DUMC Durham, NC 27710 FAX 919-681-7494 ________________________________ From: John Fox <jfox at mcmaster.ca> Sent: Saturday, October 14, 2023 10:13 AM To: Jason Stout, M.D. <jason.stout at duke.edu> Cc: r-help at r-project.org <r-help at r-project.org> Subject: Re: [R] Create new data frame with

Hey, I installed the rjs plugin yesterday and started using it for one set of views. Today I notice that in an entirely separate controller/template I''m seeing this error: TypeError (can''t dup NilClass): /vendor/plugins/javascript_generator_templates/lib/add_rjs_to_action_controller.rb:41:in `dup''

Under the hood, sapply() is also a loop (at the interpreted level). As is lapply(), etc. -- Bert On Sun, Oct 15, 2023 at 2:34?AM Jason Stout, M.D. <jason.stout at duke.edu> wrote: > > That's very helpful and instructive, thank you! > > Jason Stout, MD, MHS > Box 102359-DUMC > Durham, NC 27710 > FAX 919-681-7494 > ________________________________ > From: John

Hello xapian users, The server I'm compiling on is a little odd. SunOS on a sun4 architecture. Fails when linking, gives the following, memcpy 0x10 /usr/local/gcc-3.3.2/lib/./libstdc++.a(ctype.o) ld: fatal: relocations remain against allocatable but non-writable sections collect2: ld returned 1 exit status *** Error code 1 make: Fatal error:

Dear all, let say I have following data frame: > data.frame(x=rnorm(18), y=rep(c("a", "b", "c"), each=6)) x y 1 -1.072152537 a 2 0.382985265 a 3 0.058877377 a 4 -0.006911939 a 5 -2.355269051 a 6 -0.303095553 a 7 0.484038422 b 8 0.733928931 b 9 -1.136014346 b 10 0.503552090 b 11 1.708609658 b 12 -0.294599403 b 13

R users: Thanks in advance  How to generate missing at random (MAR)? assaedi76@yahoo.com Thanks [[alternative HTML version deleted]]

Hi, I have a data frame with two columns. I need to remove duplicated rows in first column, but I need to do it conditionally to values of the second column. Example: Point_counts Psi_Sp 1 A 0 2 A 1 3 B 1 4 B 2 5 B 0

I have a data set with 22 fields and several thousand records in which one field (count) indicates the number of times that each specific combination of the other 21 fields occurred in a bigger and largely unavailable data set. So each record is unique in its combination of field values and has a field that identifies how many multiples of this record actually occurred. Without resorting to