[R] odd listing in R object
Dear R Colleagues, When I run ls() on an R object given to me by a colleague, one of the objects is shown literally as: females[\dp\] I can neither look into it nor can I get rid of it (rm(major[\dp\]). Ideas or solutions? Thanks, Larry [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] repeated measures specification in lmer
Dear Colleagues, I have what Roger Kirk (Experimental Design: Procedures for the Behavioral Sciences, 1968) refers to as a randomized block factorial design. The anova table would look like this: df A 3 Subj/A 103 (error term for A) B 23 A*B69 B*Subj/A 2369 (error term for B and A*B) Subjects are nested within A and give a response for each B. If y is the dependent variable, is this the correct lmer specification for the above, where ID is the variable name for Subj: lmer(y ~ A + B + A*B + (A|ID)) Am I barking up the right tree? I can also fit: aov(y ~ A + B + A*B + ID) then I have to do some hand calculations to use ID as the error term for A. The residual (really B*ID) is the correct error term for B and A*B. Thanks, Larry [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] specifying repeated measures model in lmer
Dear Colleagues, I have what Roger Kirk (Experimental Design: Procedures for the Behavioral Sciences, 1968) refers to as a randomized block factorial design. The anova table would look like this: df A 3 Subj/A 103 (error term for A) B 23 A*B69 B*Subj/A 2369 (error term for B and A*B) Subjects are nested within A and give a response for each B. If y is the dependent variable, is this the correct lmer specification for the above, where ID is the variable name for Subj: lmer(y ~ A + B + A*B + (A|ID)) Am I barking up the right tree? I can also fit: aov(y ~ A + B + A*B + ID) then I have to do some hand calculations to use ID as the error term for A. The residual (really B*ID) is the correct error term for B and A*B. Thanks, Larry [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] tcltk, tcltk2, Rcmdr, Mac OS X
John was spot on. Turns out that when I don't load the workspace Rcmdr starts up just fine. It hadn't occurred to me that a workspace could be corrupt... On Tue, Feb 10, 2009 at 5:12 PM, John Fox j...@mcmaster.ca wrote: Dear Larry, That's odd: The only lmer of which I'm aware is a function in the lme4 package, and it creates objects of class mer, I believe. What this has to do with the Rcmdr package is beyond me, since the Rcmdr doesn't depend upon lme4, but, on the other hand, shouldn't conflict with it. I don't think that you've mentioned it, but I assume that you're using the current version (1.4-7) of the Rcmdr package. Is it possible that you have a saved and damaged workspace that's being loaded at the start of your R session? If so, remove the saved workspace (I'm afraid that I don't know where that lives on a Mac, but I suppose that getwd() would show you). John -Original Message- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Lawrence Hanser Sent: February-10-09 7:43 PM To: r-help@r-project.org Subject: Re: [R] tcltk, tcltk2, Rcmdr, Mac OS X Thanks. I seem to have gotten a bit further, but still not completely successful. BTW, I should have said that I am running R 2.8.1 GUI 1.27 Tiger build 32-bit (5301). X11 starts fine from the icon. library(tcltk) loads fine. Now I get this when I load Rcmdr: -- library(Rcmdr) Loading required package: car Error in getClass(class(x)) : lmer is not a defined class Error : .onAttach failed in 'attachNamespace' Error: package/namespace load failed for 'Rcmdr' -- Any help would be appreciated. Larry On Tue, Feb 10, 2009 at 3:08 PM, John Fox j...@mcmaster.ca wrote: Dear Larry, The tcltk package is part of the standard R distribution; it doesn't live on CRAN, and should already be installed. Have you tried loading tcltk directly -- library(tcltk)? It's possible that you don't have X11 Tcl/Tk installed on your Mac. Take a look at the Rcmdr installation notes for Macs, at http://socserv.mcmaster.ca/jfox/Misc/Rcmdr/installation-notes.html, if you haven't already done so. I hope this helps, John -- John Fox, Professor Department of Sociology McMaster University Hamilton, Ontario, Canada web: socserv.mcmaster.ca/jfox -Original Message- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Lawrence Hanser Sent: February-10-09 5:01 PM To: r-help@r-project.org Subject: [R] tcltk, tcltk2, Rcmdr, Mac OS X Dear Colleagues, When I try to install Rcmdr the following happens: -- library(Rcmdr) Error in structure(.External(dotTclObjv, objv, PACKAGE = tcltk), class = tclObj) : [tcl] invalid command name font. Error : .onAttach failed in 'attachNamespace' Error: package/namespace load failed for 'Rcmdr' -- I wondered if this is because there is no tcltk package installed. So I tried: -- install.packages(tcltk) Warning in install.packages(tcltk) : argument 'lib' is missing: using '/Users/hanser/Library/R/library' Warning message: package 'tcltk' is not available -- Is there in fact a tcltk package? Has it been replaced by tcltk2? Help appreciated. Regards, Larry [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] tcltk, tcltk2, Rcmdr, Mac OS X
Monte, I vaguely remember having exactly the same error message at some point in my journey. Why don't you try simply loading tcltk first to see if you can then load Rcmdr: library(tcltk) On Wed, Feb 11, 2009 at 3:03 PM, Peter Dalgaard p.dalga...@biostat.ku.dkwrote: Monte Milanuk wrote: Larry, Since it looks like you've got your problem about whipped, hope you don't mind if I piggy back on here... Same sort of problem... installed Rcmdr via the Package Installer. Followed the directions for running X11/Tk ala the site mentioned earlier and this is what I get when I try to run Rcmdr: library(Rcmdr) Error in structure(.External(dotTclObjv, objv, PACKAGE = tcltk), class = tclObj) : [tcl] invalid command name font. Error : .onAttach failed in 'attachNamespace' Error: package/namespace load failed for 'Rcmdr' Any help would be greatly appreciated. Hum. Sounds like you're getting through to Tcl but not Tk. Are you able to run the wish shell (usually comes with Tcl/Tk, although I'm not sure about Mac). -pd -- O__ Peter Dalgaard Øster Farimagsgade 5, Entr.B c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~ - (p.dalga...@biostat.ku.dk) FAX: (+45) 35327907 __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] tcltk, tcltk2, Rcmdr, Mac OS X
Dear Colleagues, When I try to install Rcmdr the following happens: -- library(Rcmdr) Error in structure(.External(dotTclObjv, objv, PACKAGE = tcltk), class = tclObj) : [tcl] invalid command name font. Error : .onAttach failed in 'attachNamespace' Error: package/namespace load failed for 'Rcmdr' -- I wondered if this is because there is no tcltk package installed. So I tried: -- install.packages(tcltk) Warning in install.packages(tcltk) : argument 'lib' is missing: using '/Users/hanser/Library/R/library' Warning message: package 'tcltk' is not available -- Is there in fact a tcltk package? Has it been replaced by tcltk2? Help appreciated. Regards, Larry [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] tcltk, tcltk2, Rcmdr, Mac OS X
Thanks. I seem to have gotten a bit further, but still not completely successful. BTW, I should have said that I am running R 2.8.1 GUI 1.27 Tiger build 32-bit (5301). X11 starts fine from the icon. library(tcltk) loads fine. Now I get this when I load Rcmdr: -- library(Rcmdr) Loading required package: car Error in getClass(class(x)) : lmer is not a defined class Error : .onAttach failed in 'attachNamespace' Error: package/namespace load failed for 'Rcmdr' -- Any help would be appreciated. Larry On Tue, Feb 10, 2009 at 3:08 PM, John Fox j...@mcmaster.ca wrote: Dear Larry, The tcltk package is part of the standard R distribution; it doesn't live on CRAN, and should already be installed. Have you tried loading tcltk directly -- library(tcltk)? It's possible that you don't have X11 Tcl/Tk installed on your Mac. Take a look at the Rcmdr installation notes for Macs, at http://socserv.mcmaster.ca/jfox/Misc/Rcmdr/installation-notes.html, if you haven't already done so. I hope this helps, John -- John Fox, Professor Department of Sociology McMaster University Hamilton, Ontario, Canada web: socserv.mcmaster.ca/jfox -Original Message- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Lawrence Hanser Sent: February-10-09 5:01 PM To: r-help@r-project.org Subject: [R] tcltk, tcltk2, Rcmdr, Mac OS X Dear Colleagues, When I try to install Rcmdr the following happens: -- library(Rcmdr) Error in structure(.External(dotTclObjv, objv, PACKAGE = tcltk), class = tclObj) : [tcl] invalid command name font. Error : .onAttach failed in 'attachNamespace' Error: package/namespace load failed for 'Rcmdr' -- I wondered if this is because there is no tcltk package installed. So I tried: -- install.packages(tcltk) Warning in install.packages(tcltk) : argument 'lib' is missing: using '/Users/hanser/Library/R/library' Warning message: package 'tcltk' is not available -- Is there in fact a tcltk package? Has it been replaced by tcltk2? Help appreciated. Regards, Larry [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Tukey on interaction means after lmer
Dear Colleagues, I fit this model: mod1 - lmer(x~category*comp+(1|id),data=impchiefsrm) where category has 4 levels and comp has 8 levels. These work: glht(mod1, linfct=mcp(category=Tukey) glht(mod1, linfct=mcp(comp=Tukey) What I'd like is (conceptually): glht(mod1, linfct=mcp(category:comp=Tukey) but it gives a syntax error. Any help is appreciated. Thanks, Larry [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] post hoc comparisons on interaction means following lme
Dear Colleagues, I have scoured the help files and been unable to find an answer to my question. Please forgive me if I have missed something obvious. I have run the following two models, where category has 3 levels and comp has 8 levels: mod1 - lmer(x~category+comp+(1|id),data=impchiefsrm) mod2 - lmer(x~category+comp+category*comp+(1|id),data=impchiefsrm) followed by: anova(mod1,mod2) The anova shows that the interaction term specified in the second model is significant when added to the main effects model. Now I'd like to run post hoc comparisons using glht to discern where the interaction means differ. For example, for post hoc comparisons on the means of the main effect of category I can run: summary(glht(mod2,linfct=mcp(category=Tukey))) But this only gives me the mean comparisons for the category main effect means. Essentially I'd like to run the following: summary(glht(mod2,linfct=mcp(category*comp=Tukey))) to get the mean comparisons for the interaction means. Perhaps needless to say, this command does not work. Can someone tell me how to run multiple comparisons among the interaction's means? I suspect that specifying the correct contrasts would do it, but I can't figure out how to setup the contrasts... Thanks, Larry [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] lme4 question
Dear R Colleagues, I run the following two models: mod1 - lmer(y ~ category + subcomp + (1 | id)) mod2 - lmer(y ~ category + subcomp + category*subcomp + (1 | id) where: category has 4 possible values subcomp has 24 possible values id has approx 120 values (id is nested within category, and in unequal numbers--i.e., unbalanced) Then to look for differences in the models I run: anova(mod1, mod2) I receive this warning message after the last command: In data != data[[1]] : longer object length is not a multiple of shorter object length I think I know why this is happening (i.e., the two models are of different length). Is my surmise correct? If I am correct I don't think I should worry. Should I? Thanks. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] lme4 question
Re Doug's comment: I apologize for being incomplete--I do know better. I did explicitly include a data statement in the models, but didn't write the model statements properly in my post. Here are the actual model statements: mod1 - lmer(y ~ category + subcomp + (1 | id), data=prepchiefs08rm) mod2 - lmer(y ~ category + subcomp + category*subcomp + (1 | id), data=prepchiefs08rm) Thanks. On Wed, Oct 22, 2008 at 2:41 PM, Douglas Bates [EMAIL PROTECTED] wrote: On Wed, Oct 22, 2008 at 4:18 PM, Lawrence Hanser [EMAIL PROTECTED] wrote: Dear R Colleagues, I run the following two models: mod1 - lmer(y ~ category + subcomp + (1 | id)) mod2 - lmer(y ~ category + subcomp + category*subcomp + (1 | id) where: category has 4 possible values subcomp has 24 possible values id has approx 120 values (id is nested within category, and in unequal numbers--i.e., unbalanced) Then to look for differences in the models I run: anova(mod1, mod2) I receive this warning message after the last command: In data != data[[1]] : longer object length is not a multiple of shorter object length That piece of code is comparing the values of the data arguments in the call slot of the fitted models. These are what are known as matched calls (produced by the function match.call). The second model you show seems incomplete. Did you miss a closing parenthesis or did you have an explicit data argument? I always use an explicit data argument and I probably implicitly thought that others would do that when I wrote the piece of code in question. I suppose I could remove that check or replace it with a better one. The purpose of the code is to determine if it is reasonable to compare the model fits by checking if the models were fit to the same data. I think I know why this is happening (i.e., the two models are of different length). Is my surmise correct? If I am correct I don't think I should worry. Should I? Thanks. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] lmer for two models followed by anova to compare the two models
Dear Colleagues, I run this model: mod1 - lmer(x~category+subcomp+category*subcomp+(1|id),data=impchiefsrm) obtain this summary result: Linear mixed-effects model fit by REML Formula: x ~ category + subcomp + category * subcomp + (1 | id) Data: impchiefsrm AIC BIC logLik MLdeviance REMLdeviance 4102 4670 -1954 3665 3908 Random effects: Groups NameVariance Std.Dev. id (Intercept) 0.11562 0.34003 Residual 0.22765 0.47713 number of obs: 2568, groups: id, 107 run this model (only difference is I've removed the interaction term): mod2 - lmer(x~category+subcomp+(1|id),data=impchiefsrm) obtain this summary result: Linear mixed-effects model fit by REML Formula: x ~ category + subcomp + (1 | id) Data: impchiefsrm AIC BIC logLik MLdeviance REMLdeviance 3987 4151 -1966 3823 3931 Random effects: Groups NameVariance Std.Dev. id (Intercept) 0.11528 0.33953 Residual 0.23584 0.48564 number of obs: 2568, groups: id, 107 Note that the loglik from the first model is -1954 and from the second model loglik is -1966. Next, to test the difference between the two models I run: anova(mod1, mod2) and obtain this result: Data: impchiefsrm Models: mod2: x ~ category + subcomp + (1 | id) mod1: x ~ category + subcomp + category * subcomp + (1 | id) Df AIC BIC logLik Chisq Chi Df Pr(Chisq) mod2 28 3879.1 4042.9 -1911.5 mod1 97 3859.3 4426.9 -1832.7 157.72 69 6.71e-09 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Note that in this result the logLiks are reported as -1832.7 and -1911.5 respectively for models 1 and 2. Now my question: Why are the logLiks from the anova command that compares the two models different from what was reported in the separate model results? Thanks, Larry __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Plot means with error bars - A novice needs help
Dear Colleagues, I think the allure of bargraph.CI is that it makes it easy to plot standard errors--though you still have to fiddle with the options to get the size of confidence interval you want. And there is the (strong) dislike of dynamite plots by some (the ink to info argument). Box and whisker plots have such a tradition of meaning in the boxes and whiskers that to add standard errors requires some additional work and explanation, and even then standard error markings are easily lost among the usual box and whisker plot markings. I have looked only briefly at tplot(), but don't recall seeing an easy way to add standard errors. Have I missed it? Would it be an easy add? A bad idea? Regards, Larry On 10/8/08, hadley wickham [EMAIL PROTECTED] wrote: On Tue, Oct 7, 2008 at 11:31 PM, Michael Just [EMAIL PROTECTED] wrote: Hello, I'd appreciate a suggestion on how to construct plots (barplots?) that use means on the Y axis instead of density/count. I'd also like to use groups and plot error or confidence interval bars on these graphs. I know this is a read the manual situation. I'd appreciate help with what to read, or your benevolence with some sample code. Here's an alternative suggestion - don't use bars, use dots. Bar plots with standard errors are sometime called dynamite plots (probably because they should be blown up). See http://biostat.mc.vanderbilt.edu/twiki/bin/view/Main/DynamitePlots and http://emdbolker.wikidot.com/blog:dynamite for some reasons not to use them and possible alternatives. I hope that package authors who provide methods to make these plots easy will reconsider. Hadley -- http://had.co.nz/ __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- Sent from my mobile device __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] creating table of averages
Dear Colleagues, I have a dataframe with variables: [1] ID category a11a12 a13a21 [7] a22a23a31a32 b11b12 [13] b13b21b31b32 b33b41 [19] b42c11c12c21 c22c23 [25] c31c32c33d11 d12d13 [31] d14d21d22d23 d24d25 [37] d31d32d33e11 e12e13 [43] e21e22e23e31 e32e33 [49] f11f12f13f14 f21f22 [55] f23f24g11g12 g13g14 [61] g21g22g23g24 g31g32 [67] g33g41g42g43 h11h12 [73] h13h21h22h23 C1.Employ SC11.Ops [79] SC12.Unit SC13.Nonadvers C2.Enterprise SC21.Structure SC22.Gov SC23.Culture [85] SC24.Stratcomm C3.Manage SC31.Resource SC32.Change SC33.Continue C4.Stratthink [91] SC41.VisionSC42.Decision SC43.Adapt C5.Lead SC51.Develop SC52.Care [97] SC53.Diversity C6.Foster SC61.Teams SC62.Negotiate C7.Embody SC71.Ethical [103] SC72.Follower SC73.Warrior SC74.Develop C8.Comm C81.Speak C82.Listen [109] OverallImp The variable category has four values: Regular, CCM, CFM, and Other I'd like to create a table like this to feed into barplot2: row.name C1.Employ C2.Enterprise C3.Manage C4.Stratthink C5.Lead C6.Foster C7.Embody C8.Comm Regular 3.68 4.27 3.22 etc.. CCM 4.32 4.56 etc. CFM etc. Other etc. So far, I have been able to get this far: mean(subset(impchiefs08,category==Regular,select=c(C1.Employ,C2.Enterprise,C3.Manage,C4.Stratthink,C5.Lead,C6.Foster,C7.Embody,C8.Comm ))) C1.Employ C2.Enterprise C3.Manage C4.Stratthink C5.Lead C6.Foster C7.Embody C8.Comm 3.60 3.85 4.48 4.346667 4.608889 4.44 4.60 4.49 But I am stumped as to how to get what I want. Thanks in advance. Larry [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] creating table of averages
Perfect! Thanks. On Tue, Sep 9, 2008 at 11:27 AM, Duncan Murdoch [EMAIL PROTECTED]wrote: On 9/9/2008 2:12 PM, Adam D. I. Kramer wrote: Maybe something like this: by(df[,c(77,81,86,90,94,98,101,106)],df$category,apply,2,mean) ...which would then need to be reformatted into a data frame (there is probably an easy way to do this which I don't know). sparseby() in the reshape package is more flexible than by(). If the function returns a vector with a consistent length, you'll get a dataframe with columns corresponding to its entries. Duncan Murdoch aggregate seems like a more reasonable choice, but the function for aggregate must return scalars, not rows...tapply doesn't take data.frame inputs. Maybe someone else has a suggestion? --Adam On Tue, 9 Sep 2008, Lawrence Hanser wrote: Dear Colleagues, I have a dataframe with variables: [1] ID category a11a12 a13a21 [7] a22a23a31a32 b11b12 [13] b13b21b31b32 b33b41 [19] b42c11c12c21 c22c23 [25] c31c32c33d11 d12d13 [31] d14d21d22d23 d24d25 [37] d31d32d33e11 e12e13 [43] e21e22e23e31 e32e33 [49] f11f12f13f14 f21f22 [55] f23f24g11g12 g13g14 [61] g21g22g23g24 g31g32 [67] g33g41g42g43 h11h12 [73] h13h21h22h23 C1.Employ SC11.Ops [79] SC12.Unit SC13.Nonadvers C2.Enterprise SC21.Structure SC22.Gov SC23.Culture [85] SC24.Stratcomm C3.Manage SC31.Resource SC32.Change SC33.Continue C4.Stratthink [91] SC41.VisionSC42.Decision SC43.Adapt C5.Lead SC51.Develop SC52.Care [97] SC53.Diversity C6.Foster SC61.Teams SC62.Negotiate C7.Embody SC71.Ethical [103] SC72.Follower SC73.Warrior SC74.Develop C8.Comm C81.Speak C82.Listen [109] OverallImp The variable category has four values: Regular, CCM, CFM, and Other I'd like to create a table like this to feed into barplot2: row.name C1.Employ C2.Enterprise C3.Manage C4.Stratthink C5.Lead C6.Foster C7.Embody C8.Comm Regular 3.68 4.27 3.22 etc.. CCM 4.32 4.56 etc. CFM etc. Other etc. So far, I have been able to get this far: mean(subset(impchiefs08,category==Regular,select=c(C1.Employ,C2.Enterprise,C3.Manage,C4.Stratthink,C5.Lead,C6.Foster,C7.Embody,C8.Comm ))) C1.Employ C2.Enterprise C3.Manage C4.Stratthink C5.Lead C6.Foster C7.Embody C8.Comm 3.60 3.85 4.48 4.346667 4.608889 4.44 4.60 4.49 But I am stumped as to how to get what I want. Thanks in advance. Larry [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] histogram tick labels
Dear Friends, I am doing a rather simple histogram on a vector of data, MR. I set breaks for the intervals: hist(MR,breaks=c(0, 2.9, 5.9, 8.9, 11.9,14.9, 17.9, 20.9)) My question is, how do I change the labels on the tick marks? I have looked at ?hist and can't find a clue... Thanks in advance. Larry __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Documentation General Comments
Dear Colleagues,
It seems to me that the issue is not whether the information we seek
is in the documentation. I, for one, am amazed at the quality of the
documentation of R and of contributed materials. For me the issue is
one of finding the information in an efficient way out of the
mountains of information in the official and unofficial documentation
of R. Part of this is on the head of the seeker of information to
generate keywords that will lead a search engine to find what we are
looking for. But part of it is on the heads of contributors to insure
that relevant keywords are associated with relevant content in a way
that the search engine will find it and rank order it in a sensible
way.
Take RSiteSearch(), for example. Are we as a user and contributor
group familiar with the scoring scheme that Namazu uses to score and
order the information it finds? I refer you to:
http://www.namazu.org/doc/tips.html for this information. For
example, if Namazu finds a keyword in a meta name =keywords
content=... tag the score is bumped by 32 points. Finding a
keyword in a title tag is worth 16 points, etc. Also on the
referenced url page we are essentially told not to use more than two
words in the search. It seems to me that knowing these things alone
will help authors increase the quality of searches and seekers to more
easily find what they are looking for.
My thanks to all the contributors who have made R a terrific system.
Regards,
Larry
On Thu, Apr 24, 2008 at 8:55 PM, Kingsford Jones
[EMAIL PROTECTED] wrote:
I just read through this thread and I didn't see the R Language
Definition mentioned. As with An Introduction to R it can be accessed
-- at least in my Windows GUI -- via the menu bar: Help - Manuals (in
PDF). If An Introduction to R is too basic, then the Language
Definition should be a good place to look for more details on R
objects (Ch 2). However An Introduction to R does include
authoritative introductions to the data types mentioned by the
original poster: factors (Ch4), arrays and matrices (Ch 5), and lists
and data frames (Ch 6).
That said, I agree that learning efficiency could be improved by
augmenting the manuals with tables similar to the table 2.1 that was
referenced earlier in the thread (aside: are functions, or even lists,
really Data Objects?). Of course, as pointed out by Duncan, we are
collaborators not consumers, so if I think there should be more tables
in the documents then the onus is on me to try to get my ideas
incorporated (see
http://wiki.r-project.org/rwiki/doku.php?id=misc:rpatch ).
Kingsford Jones
On Thu, Apr 24, 2008 at 9:37 AM, Duncan Murdoch [EMAIL PROTECTED] wrote:
On 4/24/2008 12:08 PM, Martin Maechler wrote:
Hmm,
KeBe == Beck, Kenneth (STP) [EMAIL PROTECTED]
on Thu, 24 Apr 2008 10:12:19 -0500 writes:
KeBe OK I've spent a lot of time with the core
KeBe documentation, and I never found anything as simple as
KeBe their table 2.1, which elucidated the difference
KeBe between a vector, matrix and array first, then the
KeBe higher level structures, frame and list. Maybe I'm
KeBe not a good searcher, but believe me for every initial
KeBe posting I submit to this group, I have spent hours
KeBe trying to find the answer elsewhere. And, as you
KeBe state, maybe I am now deluded by that presentation,
KeBe maybe it is not this simple!
Well, I get the impression that you've never read the manual
Introduction to R
(or some good book such as Peter Dalgaard's)
but have directly jumped into reading help() pages ???
That's not correct. Kenneth started the thread (on Monday) saying:
The basic tutorial Introduction to R is so basic, it
hardly helps at all, then digging through documentation is really an
exercise in frustration.
Duncan Murdoch
Maybe a good idea would be to improve the Introduction to R
rather than thinking of misusing the help() collection
{which is the reference manual, not the user manual !!}
by making it easy to understand (and consequently less precise) ??
Patches (well reflected ..) to the Introduction are quite
welcome, indeed.
The (development) source is always available
at https://svn.r-project.org/R/trunk/doc/manual/R-intro.texi
(and yes, the source does look a bit less user-friendly,
than its PDF output, e.g.
http://cran.r-project.org/doc/manuals/R-intro.pdf
or its daily updated HTML output at
http://stat.ethz.ch/R-manual/R-devel/doc/manual/R-intro.html
)
Regards,
Martin
KeBe Look at the help for data.frame. VERY terse
KeBe explanation, with not a good comparison to the other
KeBe data types. Then, look at the titles list. Where is a
KeBe topic for data
[R] interactive rotating graphics
Dear Colleagues, Seems I had in the past run across the capability to create a three-dimensional scatterplot where I could use the mouse to grab the plot and rotate the axes with the mouse. I have used RSiteSearch and found a few things (e.g., TeachingDemos, iplot) but cannot find the package/function that does the above. There was also the capability to use the mouse to select and identify a single point. Any help pointing me in the right direction is appreciated. Larry __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] SAS data
Looks to me like you are trying to read sas.exe as your data rather than MyData.sa7bdat Larry On Fri, Mar 14, 2008 at 8:21 AM, Samuel Okoye [EMAIL PROTECTED] wrote: Hello, I am trying to read the SAS file MyData.sa7bdat in R! This file is saved under D:\data! I therefore wrote path -D:/SasData sashome - C/Progra, Files/SAS Institute/9_1/SAS sascmd - file.path(sashome, sas.exe) MyData - read.ssd(path, MyData, sascmd=sascmd) The results what I get: SAS failed. SAS program at C:\DOCUME~1\Temp\RtmpcTlKtb\file4eb43288.sas The log file will be file4eb43288.log in the current directory NULL Warning message: SAS return code was 2 in: read.ssd(path, MyData, sascmd = sascmd) Thank you in advance! Sam - [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
