Re: [R] package mgcv - predict with bam: Error in X[ind, ] : subscript out of bounds
I suppose there may be an error of sorts, but have you considered the fact that solving the error might not gain you admittance into heaven? Look at the RHS of the model: sensor2 + s(site, bs = re) ... and think about the fact that you are smoothing a factor variable. - Actually this is ok. mgcv exploits the duality between quadratically penalized smooths and Gaussian random effects to allow random effects to be specified this way. bs=re specifies a Gaussian random effect with corresponding model matrix given by model.matrix(~site-1). (More generally s(x,y,z,bs=re) specifies a gaussian random effect with model matrix given by model.matrix(~x:y:z-1), with obvious generalization to more or fewer variables). See mgcv help file ?random.effects for more. best, Simon str(gapData) 'data.frame': 2304 obs. of 5 variables: $ sensor1: num NA NA NA NA NA NA NA NA NA NA ... $ site : Factor w/ 9 levels KRB,NP.FOR,..: 3 3 3 3 3 3 3 3 3 3 ... $ NthSampling: int 7489 7490 7491 7492 7493 7494 7495 7496 7497 7498 ... $ YDay : num 53 53 53 53 53 53 53 53 53 53 ... $ sensor2: num 0.567 0.566 0.567 0.567 0.569 ... I'm having trouble making any sense of how that might work. It is, of course, possible to just do this: xylemRohWeekXnnSite.fit - predict.gam(xylemRohWeekXnn.fit.bam, type=response, se=F) That gives predictions for the original dataset. But I think the error might be helpful in alerting one to the problems with the model. -- Simon Wood, Mathematical Science, University of Bath BA2 7AY UK +44 (0)1225 386603 http://people.bath.ac.uk/sw283 __ 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] package mgcv - predict with bam: Error in X[ind, ] : subscript out of bounds
Hi Katharina, Thanks for sending this. The problem is that the prediction data for site contain levels not available in the (useable non-NA) fit data... levels(m$model$site) [1] KRB NP.FOR WKS.FRE WKS.KRE WKS.RIE WKS.WUE levels(gapData$site) [1] KRB NP.FOR RIE.2 WKS.BBR WKS.FRE WKS.HOE WKS.KRE [8] WKS.RIE WKS.WUE predict.lm has a check for this, and so fails with a rather more informative error message. e.g. m0 - lm(sensor1 ~ sensor2 + site + site:NthSampling, data=xylemRohWeekXnn2011,na.action=na.omit) predict(m0,gapData) ... factor site has new levels RIE.2, WKS.BBR I'll add a better check to predict.gam. best, Simon ps. if you want predictions with the random effects for site set to zero then one trick is to use terms like s(site,bs=re,by=dum) in fitting with dum set to 1. Then in prediction you can set 'site' to any existing level, and dum to zero, in order to get a prediction for the missing level, with the 'site' effect set to zero. On 02/02/14 17:52, Katharina May wrote: Hi Simon, thank you for your reply, I really appreciate any help to understand the problem here... Unluckily the package upgrade didn't help with this issue. An example reproducing the error, and a current sessionInfo() Output can be found below. Many thanks once again, Katharina R Code Example snip library(RCurl) library(mgcv) #retrieve xylemRohWeekXnn2011 test data frame eval( expr = parse( text = getURL(https://webdisk.ads.mwn.de/Handlers/AnonymousDownload.ashx?folder=1a7cbaa4path=xylemRohWeekXnn2011.R;) )) xylemRohWeekXnn.fit.bam - bam(sensor1 ~ sensor2 + s(site, bs=re) + s(site, NthSampling, bs=re) , data=xylemRohWeekXnn2011, na.action=na.omit) #subset data containing gaps for predicting gapData - xylemRohWeekXnn2011[is.na(xylemRohWeekXnn2011[,2]) !is.na(xylemRohWeekXnn2011[,11]),c(2:3,6:7, 11)] xylemRohWeekXnnSite.fit - predict.gam(xylemRohWeekXnn.fit.bam,gapData, type=response, se=F) /snap My current Session Information (sessionInfo() Output - also confirming that the problem exists on both Windows and Mac OS X): snip R version 3.0.2 (2013-09-25) Platform: x86_64-apple-darwin10.8.0 (64-bit) locale: [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] mgcv_1.7-28nlme_3.1-113 RCurl_1.95-4.1 bitops_1.0-6 loaded via a namespace (and not attached): [1] grid_3.0.2 lattice_0.20-24 Matrix_1.1-2tools_3.0.2 /snap On 31/01/14 12:57, Simon Wood wrote: Hi Katharina, Could you try upgrading to mgcv_1.7-28, please? There was an occasional problem to do with matching factor levels, which is fixed, but I'm not very confident that is what is going on. If upgrading doesn't work, is there any chance you could send me a small example dataset and code that produces the error, and I'll look at it? best, Simon -- Simon Wood, Mathematical Science, University of Bath BA2 7AY UK +44 (0)1225 386603 http://people.bath.ac.uk/sw283 -- Simon Wood, Mathematical Science, University of Bath BA2 7AY UK +44 (0)1225 386603 http://people.bath.ac.uk/sw283 __ 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] package mgcv - predict with bam: Error in X[ind, ] : subscript out of bounds
Hi Simon, many thanks for looking into this and making me understand the problem! I'll adjust my factor levels right away... Best, Katharina On 3 February 2014 12:42, Simon Wood s.w...@bath.ac.uk wrote: Hi Katharina, Thanks for sending this. The problem is that the prediction data for site contain levels not available in the (useable non-NA) fit data... levels(m$model$site) [1] KRB NP.FOR WKS.FRE WKS.KRE WKS.RIE WKS.WUE levels(gapData$site) [1] KRB NP.FOR RIE.2 WKS.BBR WKS.FRE WKS.HOE WKS.KRE [8] WKS.RIE WKS.WUE predict.lm has a check for this, and so fails with a rather more informative error message. e.g. m0 - lm(sensor1 ~ sensor2 + site + site:NthSampling, data=xylemRohWeekXnn2011,na.action=na.omit) predict(m0,gapData) ... factor site has new levels RIE.2, WKS.BBR I'll add a better check to predict.gam. best, Simon ps. if you want predictions with the random effects for site set to zero then one trick is to use terms like s(site,bs=re,by=dum) in fitting with dum set to 1. Then in prediction you can set 'site' to any existing level, and dum to zero, in order to get a prediction for the missing level, with the 'site' effect set to zero. On 02/02/14 17:52, Katharina May wrote: Hi Simon, thank you for your reply, I really appreciate any help to understand the problem here... Unluckily the package upgrade didn't help with this issue. An example reproducing the error, and a current sessionInfo() Output can be found below. Many thanks once again, Katharina R Code Example snip library(RCurl) library(mgcv) #retrieve xylemRohWeekXnn2011 test data frame eval( expr = parse( text = getURL(https://webdisk.ads.mwn.de/Handlers/AnonymousDownload.ashx?folder=1a7cbaa4path=xylemRohWeekXnn2011.R;) )) xylemRohWeekXnn.fit.bam - bam(sensor1 ~ sensor2 + s(site, bs=re) + s(site, NthSampling, bs=re) , data=xylemRohWeekXnn2011, na.action=na.omit) #subset data containing gaps for predicting gapData - xylemRohWeekXnn2011[is.na(xylemRohWeekXnn2011[,2]) !is.na(xylemRohWeekXnn2011[,11]),c(2:3,6:7, 11)] xylemRohWeekXnnSite.fit - predict.gam(xylemRohWeekXnn.fit.bam,gapData, type=response, se=F) /snap My current Session Information (sessionInfo() Output - also confirming that the problem exists on both Windows and Mac OS X): snip R version 3.0.2 (2013-09-25) Platform: x86_64-apple-darwin10.8.0 (64-bit) locale: [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] mgcv_1.7-28nlme_3.1-113 RCurl_1.95-4.1 bitops_1.0-6 loaded via a namespace (and not attached): [1] grid_3.0.2 lattice_0.20-24 Matrix_1.1-2tools_3.0.2 /snap On 31/01/14 12:57, Simon Wood wrote: Hi Katharina, Could you try upgrading to mgcv_1.7-28, please? There was an occasional problem to do with matching factor levels, which is fixed, but I'm not very confident that is what is going on. If upgrading doesn't work, is there any chance you could send me a small example dataset and code that produces the error, and I'll look at it? best, Simon -- Simon Wood, Mathematical Science, University of Bath BA2 7AY UK +44 (0)1225 386603 http://people.bath.ac.uk/sw283 -- Simon Wood, Mathematical Science, University of Bath BA2 7AY UK +44 (0)1225 386603 http://people.bath.ac.uk/sw283 -- Katharina May BSc. Forest Science and Resource Management IT Specialist (CCI) Prinz-Ludwig-Str. 7 85354 Freising Germany Mobile: +49-176-24031809 www: m3y.de __ 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] package mgcv - predict with bam: Error in X[ind, ] :, subscript out of bounds
Dear Simon, your note below says bs=re specifies a Gaussian random effect . I have been using bs = re for data modeled with Poisson and binomial distributions, or variants thereof (e.g., quasi-Poisson). Have I erred in assuming bs =re can be used to obtain random effects for such data? Will Shadish - Actually this is ok. mgcv exploits the duality between quadratically penalized smooths and Gaussian random effects to allow random effects to be specified this way. bs=re specifies a Gaussian random effect with corresponding model matrix given by model.matrix(~site-1). (More generally s(x,y,z,bs=re) specifies a gaussian random effect with model matrix given by model.matrix(~x:y:z-1), with obvious generalization to more or fewer variables). See mgcv help file ?random.effects for more. best, Simon -- William R. Shadish Distinguished Professor Founding Faculty Mailing Address: William R. Shadish University of California School of Social Sciences, Humanities and Arts 5200 North Lake Rd Merced CA 95343 Physical/Delivery Address: University of California Merced ATTN: William Shadish School of Social Sciences, Humanities and Arts Facilities Services Building A 5200 North Lake Rd. Merced, CA 95343 209-228-4372 voice 209-228-4007 fax (communal fax: be sure to include cover sheet) wshad...@ucmerced.edu http://faculty.ucmerced.edu/wshadish/index.htm http://psychology.ucmerced.edu __ 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] package mgcv - predict with bam: Error in X[ind, ] :, subscript out of bounds
The two distributions are different. The random effect is assumed to be a Gaussian random variable, just as it is with the GLMMs in the lme4 package. It is fine to use such a random effect within a GAM with a non-Gaussian error distribution, like the ones you describe using. HTH Gavin On 3 February 2014 15:00, William Shadish wshad...@ucmerced.edu wrote: Dear Simon, your note below says bs=re specifies a Gaussian random effect . I have been using bs = re for data modeled with Poisson and binomial distributions, or variants thereof (e.g., quasi-Poisson). Have I erred in assuming bs =re can be used to obtain random effects for such data? Will Shadish - Actually this is ok. mgcv exploits the duality between quadratically penalized smooths and Gaussian random effects to allow random effects to be specified this way. bs=re specifies a Gaussian random effect with corresponding model matrix given by model.matrix(~site-1). (More generally s(x,y,z,bs=re) specifies a gaussian random effect with model matrix given by model.matrix(~x:y:z-1), with obvious generalization to more or fewer variables). See mgcv help file ?random.effects for more. best, Simon -- William R. Shadish Distinguished Professor Founding Faculty Mailing Address: William R. Shadish University of California School of Social Sciences, Humanities and Arts 5200 North Lake Rd Merced CA 95343 Physical/Delivery Address: University of California Merced ATTN: William Shadish School of Social Sciences, Humanities and Arts Facilities Services Building A 5200 North Lake Rd. Merced, CA 95343 209-228-4372 voice 209-228-4007 fax (communal fax: be sure to include cover sheet) wshad...@ucmerced.edu http://faculty.ucmerced.edu/wshadish/index.htm http://psychology.ucmerced.edu __ 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. -- Gavin Simpson, PhD __ 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] package mgcv - predict with bam: Error in X[ind, ] : subscript out of bounds
Hi Simon, thank you for your reply, I really appreciate any help to understand the problem here... Unluckily the package upgrade didn't help with this issue. An example reproducing the error, and a current sessionInfo() Output can be found below. Many thanks once again, Katharina R Code Example snip library(RCurl) library(mgcv) #retrieve xylemRohWeekXnn2011 test data frame eval( expr = parse( text = getURL(https://webdisk.ads.mwn.de/Handlers/AnonymousDownload.ashx?folder=1a7cbaa4path=xylemRohWeekXnn2011.R;) )) xylemRohWeekXnn.fit.bam - bam(sensor1 ~ sensor2 + s(site, bs=re) + s(site, NthSampling, bs=re) , data=xylemRohWeekXnn2011, na.action=na.omit) #subset data containing gaps for predicting gapData - xylemRohWeekXnn2011[is.na(xylemRohWeekXnn2011[,2]) !is.na(xylemRohWeekXnn2011[,11]),c(2:3,6:7, 11)] xylemRohWeekXnnSite.fit - predict.gam(xylemRohWeekXnn.fit.bam,gapData, type=response, se=F) /snap My current Session Information (sessionInfo() Output - also confirming that the problem exists on both Windows and Mac OS X): snip R version 3.0.2 (2013-09-25) Platform: x86_64-apple-darwin10.8.0 (64-bit) locale: [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] mgcv_1.7-28nlme_3.1-113 RCurl_1.95-4.1 bitops_1.0-6 loaded via a namespace (and not attached): [1] grid_3.0.2 lattice_0.20-24 Matrix_1.1-2tools_3.0.2 /snap On 31/01/14 12:57, Simon Wood wrote: Hi Katharina, Could you try upgrading to mgcv_1.7-28, please? There was an occasional problem to do with matching factor levels, which is fixed, but I'm not very confident that is what is going on. If upgrading doesn't work, is there any chance you could send me a small example dataset and code that produces the error, and I'll look at it? best, Simon -- Simon Wood, Mathematical Science, University of Bath BA2 7AY UK +44 (0)1225 386603 http://people.bath.ac.uk/sw283 __ 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] package mgcv - predict with bam: Error in X[ind, ] : subscript out of bounds
On Feb 2, 2014, at 9:52 AM, Katharina May wrote: Hi Simon, thank you for your reply, I really appreciate any help to understand the problem here... Unluckily the package upgrade didn't help with this issue. An example reproducing the error, and a current sessionInfo() Output can be found below. I suppose there may be an error of sorts, but have you considered the fact that solving the error might not gain you admittance into heaven? Look at the RHS of the model: sensor2 + s(site, bs = re) ... and think about the fact that you are smoothing a factor variable. str(gapData) 'data.frame': 2304 obs. of 5 variables: $ sensor1: num NA NA NA NA NA NA NA NA NA NA ... $ site : Factor w/ 9 levels KRB,NP.FOR,..: 3 3 3 3 3 3 3 3 3 3 ... $ NthSampling: int 7489 7490 7491 7492 7493 7494 7495 7496 7497 7498 ... $ YDay : num 53 53 53 53 53 53 53 53 53 53 ... $ sensor2: num 0.567 0.566 0.567 0.567 0.569 ... I'm having trouble making any sense of how that might work. It is, of course, possible to just do this: xylemRohWeekXnnSite.fit - predict.gam(xylemRohWeekXnn.fit.bam, type=response, se=F) That gives predictions for the original dataset. But I think the error might be helpful in alerting one to the problems with the model. -- David. Many thanks once again, Katharina R Code Example snip library(RCurl) library(mgcv) #retrieve xylemRohWeekXnn2011 test data frame eval( expr = parse( text = getURL(https://webdisk.ads.mwn.de/Handlers/AnonymousDownload.ashx?folder=1a7cbaa4path=xylemRohWeekXnn2011.R;) )) xylemRohWeekXnn.fit.bam - bam(sensor1 ~ sensor2 + s(site, bs=re) + s(site, NthSampling, bs=re) , data=xylemRohWeekXnn2011, na.action=na.omit) #subset data containing gaps for predicting gapData - xylemRohWeekXnn2011[is.na(xylemRohWeekXnn2011[,2]) !is.na(xylemRohWeekXnn2011[,11]),c(2:3,6:7, 11)] xylemRohWeekXnnSite.fit - predict.gam(xylemRohWeekXnn.fit.bam,gapData, type=response, se=F) /snap My current Session Information (sessionInfo() Output - also confirming that the problem exists on both Windows and Mac OS X): snip R version 3.0.2 (2013-09-25) Platform: x86_64-apple-darwin10.8.0 (64-bit) locale: [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] mgcv_1.7-28nlme_3.1-113 RCurl_1.95-4.1 bitops_1.0-6 loaded via a namespace (and not attached): [1] grid_3.0.2 lattice_0.20-24 Matrix_1.1-2tools_3.0.2 /snap On 31/01/14 12:57, Simon Wood wrote: Hi Katharina, Could you try upgrading to mgcv_1.7-28, please? There was an occasional problem to do with matching factor levels, which is fixed, but I'm not very confident that is what is going on. If upgrading doesn't work, is there any chance you could send me a small example dataset and code that produces the error, and I'll look at it? best, Simon -- Simon Wood, Mathematical Science, University of Bath BA2 7AY UK +44 (0)1225 386603 http://people.bath.ac.uk/sw283 __ 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. David Winsemius Alameda, CA, USA __ 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] package mgcv - predict with bam: Error in X[ind, ] : subscript out of bounds
Hi Katharina, Could you try upgrading to mgcv_1.7-28, please? There was an occasional problem to do with matching factor levels, which is fixed, but I'm not very confident that is what is going on. If upgrading doesn't work, is there any chance you could send me a small example dataset and code that produces the error, and I'll look at it? best, Simon On 30/01/14 12:20, Katharina May wrote: Dear R-Community, I`m trying to apply the mgcv package to fill gaps in sensor data from different sites (9 sites, 2 sensors per site) and do the filling on a site-wise level. Based on http://r.789695.n4.nabble.com/mgcv-gamm-predict-to-reflect-random-s-effects-td3622738.html my model looks like this: xylemRohWeekXnn.fit.bam - bam(sensor1 ~ sensor2 + s(site, bs=re) + s(site, NthSampling, bs=re) , data=xylemRohWeekXnn2011, na.action=na.omit) However, than I try to use predict, I get an error: gapData - xylemRohWeekXnn2011[is.na(xylemRohWeekXnn2011[,2]) !is.na(xylemRohWeekXnn2011[,11]),c(2:3,6:7, 11)] xylemRohWeekXnnSite.fit - predict.gam(xylemRohWeekXnn.fit.bam,gapData, type=response, se=F) Error in X[ind, ] : subscript out of bounds I was hoping that someone might be able to provide a quick hint on if there is an obvious problem or mistake within my model declaration/approach? I attached the sessionInfo() Output below and the xylemRohWeekXnn2011 dump can be downloaded here: https://webdisk.ads.mwn.de/Handlers/AnonymousDownload.ashx?folder=1a7cbaa4path=xylemRohWeekXnn2011.txt I`m appreciating any help and hints! Thank you very much, Katharina - sessionInfo() - R version 3.0.2 (2013-09-25) Platform: x86_64-w64-mingw32/x64 (64-bit) locale: [1] LC_COLLATE=German_Germany.1252 LC_CTYPE=German_Germany.1252 LC_MONETARY=German_Germany.1252 [4] LC_NUMERIC=CLC_TIME=German_Germany.1252 attached base packages: [1] splines stats graphics grDevices utils datasets methods base other attached packages: [1] mgcv_1.7-27 plyr_1.8ggplot2_0.9.3.1 lattice_0.20-24 gdata_2.13.2nlme_3.1-113 [7] zoo_1.7-10 xlsx_0.5.5 xlsxjars_0.5.0 rJava_0.9-6 loaded via a namespace (and not attached): [1] colorspace_1.2-4 dichromat_2.0-0digest_0.6.4 grid_3.0.2 gtable_0.1.2 [6] gtools_3.2.1 labeling_0.2 MASS_7.3-29 Matrix_1.1-2 munsell_0.4.2 [11] proto_0.3-10 RColorBrewer_1.0-5 reshape2_1.2.2 scales_0.2.3 stringr_0.6.2 [16] tools_3.0.2 __ 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. -- Simon Wood, Mathematical Science, University of Bath BA2 7AY UK +44 (0)1225 386603 http://people.bath.ac.uk/sw283 __ 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] package mgcv - predict with bam: Error in X[ind, ] : subscript out of bounds
Dear R-Community, I`m trying to apply the mgcv package to fill gaps in sensor data from different sites (9 sites, 2 sensors per site) and do the filling on a site-wise level. Based on http://r.789695.n4.nabble.com/mgcv-gamm-predict-to-reflect-random-s-effects-td3622738.html my model looks like this: xylemRohWeekXnn.fit.bam - bam(sensor1 ~ sensor2 + s(site, bs=re) + s(site, NthSampling, bs=re) , data=xylemRohWeekXnn2011, na.action=na.omit) However, than I try to use predict, I get an error: gapData - xylemRohWeekXnn2011[is.na(xylemRohWeekXnn2011[,2]) !is.na(xylemRohWeekXnn2011[,11]),c(2:3,6:7, 11)] xylemRohWeekXnnSite.fit - predict.gam(xylemRohWeekXnn.fit.bam,gapData, type=response, se=F) Error in X[ind, ] : subscript out of bounds I was hoping that someone might be able to provide a quick hint on if there is an obvious problem or mistake within my model declaration/approach? I attached the sessionInfo() Output below and the xylemRohWeekXnn2011 dump can be downloaded here: https://webdisk.ads.mwn.de/Handlers/AnonymousDownload.ashx?folder=1a7cbaa4path=xylemRohWeekXnn2011.txt I`m appreciating any help and hints! Thank you very much, Katharina - sessionInfo() - R version 3.0.2 (2013-09-25) Platform: x86_64-w64-mingw32/x64 (64-bit) locale: [1] LC_COLLATE=German_Germany.1252 LC_CTYPE=German_Germany.1252 LC_MONETARY=German_Germany.1252 [4] LC_NUMERIC=CLC_TIME=German_Germany.1252 attached base packages: [1] splines stats graphics grDevices utils datasets methods base other attached packages: [1] mgcv_1.7-27 plyr_1.8ggplot2_0.9.3.1 lattice_0.20-24 gdata_2.13.2nlme_3.1-113 [7] zoo_1.7-10 xlsx_0.5.5 xlsxjars_0.5.0 rJava_0.9-6 loaded via a namespace (and not attached): [1] colorspace_1.2-4 dichromat_2.0-0digest_0.6.4 grid_3.0.2 gtable_0.1.2 [6] gtools_3.2.1 labeling_0.2 MASS_7.3-29 Matrix_1.1-2 munsell_0.4.2 [11] proto_0.3-10 RColorBrewer_1.0-5 reshape2_1.2.2 scales_0.2.3 stringr_0.6.2 [16] tools_3.0.2 __ 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.
