[R] odfweave table styles
Hello List, Does anyone have examples of custom formatting of tables in odfweave? I know there is an example of this in the formatting.odt file that comes with the package, but running that through odfweave gives the following error: Error: chunk 13 (label=showTableStyles) Error in names(x) <- value : 'names' attribute [1] must be the same length as the vector [0] What I am really trying to do is replicate this part which highlights one row <>= bigState <- which.max(tableData[, "Area"]) tableStyles$text[bigState,] <- "ArialHighlight" tableStyles$cell[bigState,] <- "highlight" tableStyles$text @ In my code I do: <>= bluesYes <- which(outTable[,2] >= 3 & outTable[,2] < 4) namel <- colnames(outTable) tstyles <- tableStyles(outTable, useRowNames = F, header = namel) tstyles$cell[bluesYes,2] <- "highlight" @ <>= odfTable(outTable, styles = tstyles, useRowNames = F, colnames = namel) @ My code runs and does not throw an error, but the resulting table does not have the rows I asked for highlighted. If I check the tableStyles object the values of $cell are properly set as I want. What are valid values that tableStyles$cell can be set to? Does this have to be a custom style defined in the ODT file beforehand? Thanks in advance, Colin Robertson PhD Candidate Dept of Geography University of Victoria [[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] odfweave table styles
Thanks! The formattingOut.odt document had exactly what I needed. The style "highlight" wasnt defined in my environment. Cheers, Colin On Wed, Nov 4, 2009 at 4:59 AM, Max Kuhn wrote: > It's hard to say without a reproducible example or the output form > sessionInfo(). > > Before doing that though, did you read the 31 page document > "formattingOut.odt" (or the corresponding pre-odfWeave document) in > the examples folder of the package? > > Max > > On Tue, Nov 3, 2009 at 8:14 PM, Colin Robertson > wrote: > > Hello List, > > > > Does anyone have examples of custom formatting of tables in odfweave? I > know > > there is an example of this in the formatting.odt file that comes with > the > > package, but running that through odfweave gives the following error: > > > > Error: chunk 13 (label=showTableStyles) > > Error in names(x) <- value : > > 'names' attribute [1] must be the same length as the vector [0] > > > > What I am really trying to do is replicate this part which highlights one > > row > > > > <>= > > bigState <- which.max(tableData[, "Area"]) > > tableStyles$text[bigState,] <- "ArialHighlight" > > tableStyles$cell[bigState,] <- "highlight" > > tableStyles$text > > @ > > > > In my code I do: > > > > <>= > > bluesYes <- which(outTable[,2] >= 3 & outTable[,2] < 4) > > namel <- colnames(outTable) > > tstyles <- tableStyles(outTable, useRowNames = F, header = namel) > > tstyles$cell[bluesYes,2] <- "highlight" > > @ > > <>= > > odfTable(outTable, styles = tstyles, useRowNames = F, colnames = namel) > > @ > > > > My code runs and does not throw an error, but the resulting table does > not > > have the rows I asked for highlighted. If I check the tableStyles object > the > > values of $cell are properly set as I want. What are valid values that > > tableStyles$cell can be set to? Does this have to be a custom style > defined > > in the ODT file beforehand? > > > [[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] using rcorr.cens for Goodman Kruskal gamma
Dear List, I would like to calculate the Goodman-Kruskal gamma for the predicted classes obtained from an ordinal regression model using lrm in the Design package. I couldn't find a way to get gamma for predicted values in Design so have found previous positings suggesting to use : Rcorr.cens(x, S outx = TRUE) in the Hmisc package My question is, will this work for predicted vs observed factors? I.e. x = predicted class and S = observed class? Or is there a better way to obtain this? I used the maximum individual probability for each observation to determine the predicted class. Any help appreciated, Thanks Colin Colin Robertson Dept of Geography University of Victoria [[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] AUC values from LRM and ROCR
Dear List, I am trying to assess the prediction accuracy of an ordinal model fit with LRM in the Design package. I used predict.lrm to predict on an independent dataset and am now attempting to assess the accuracy of these predictions. >From what I have read, the AUC is good for this because it is threshold independent. I obtained the AUC for the fit model output from the c score (c = 0.78). For the predicted values and independent data, for each level of the response I used the ROCR functions to get the AUC (i.e., probability y >= class1, y >= class2, y >= class3 etc) and plotted the ROC curves for each. The AUC values are all higher (AUC = 0.80 - 0.93) for the predicted values than what I got from the fit model in lrm. I am not sure whether I have misinterpreted the use of the AUC for ordinal models or whether the prediction results are actually better than the model results. Any help / clarification appreciated, Colin Colin Robertson University of Victoria [[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.
