similar to: tableGrob and properties of a cell

hi, is it possible to convert latex code to pdf in R (like a latex-program would do it)? Is there a package that comes with this capabilities? My problem is that I want to generate tables automatically - and I can't use a latex editor at that computer ... Besides latex ... are there good ways to generate tables in R? thanks for any suggestions!

I'm working on a package to produce graphic displays of 2- and 3-way tables and need some help/advice on how to simplify the specification of a complex argument that gives the drawing details for each cell of the table. Prototypes of two functions, 'tableplot' and 'cellgram' are given below. The essential idea is that for a given table ('values'), the cells can be be

Dear all, I would like to underline only the colnames in a table as e.g. grid.draw(tableGrob(head(iris, 10), name="test")) I can imagine you should use grid.edit or so, bu I can't figure out how... Does anyone have a suggestion? Thanks Robbert windows xp R 2.10.1 -- View this message in context:

Hi all, I try to print a table with the grid.draw(tableGrob(...)) function applied to an ftable object. The output only give me a table without colnames either rownames, but with edit.grid() I can add only one of them. And this is the problem, I have a table with a two rows head, like this: 45 o mas Entre 25

I'm looking for a way to create a pdf report that contains multiple graphs on one page as well as tables (ideally with some lines below categories etc.) . I have used the pdf(filename) followed by dev.off() to date but this prints one graph per page and does not seem to have functionality for tables. Thanks Sent from my BlackBerry? wireless device

Hi, Working on a report that is going to have a large number of graphs and summaries. We have 80 "groups" with 20 variables each. Ideally, I'd like to produce ONE page for each group. It would have two columns of 10 graphs and then the 5 number summary of the variables at the bottom. So, perhaps the top 2/3 of the page has the graphs and the bottom third has 20 rows of data

Hi, I am trying to create a set of dummy variables to use within a multiple linear regression and am unable to find the codes within the manuals. For example i have: Price Weight Clarity IF VVS1 VVS2 500 8 1 0 0 1000 5.2 0 0 1 864 3 0 1 0 340

Hi all, I am looking for recommendations/pointers about best report generator you think that are currently available? i.e. the package that can help turn console output into nice-looking neat report to send to bosses? thanks a lot! [[alternative HTML version deleted]]

Hi all, So my question is pretty simple, but unfortunately I have not been able to find a good answer after extensive google searches. I am trying to plot an "attractive" data table in R, such as: http://t2.gstatic.com/images?q=tbn:ANd9GcRjfTbTEUWlnb73wtUkY1mbQblWA-2EKEgvTLXGzkqUSpH4mWrk Such data tables are easily done in Excel, but I am trying to automate the entire process in R.

Colleagues I am learning lattice graphics (R 2.12.2; OS X). Several days ago, I inquired about adding margin text to lattice graphics. Jim Price offered a useful reply, suggesting that I add: page = function(page) grid.text('words', x = 0.5, y = 0.01) to my call to the function. The entire function that he suggested was; xyplot(1 ~ 1, par.settings = list(layout.heights =

Hello, I'd like to output a table to the x11 device, but I can't seem to find an easy way to do it. Specifically, I'd like to display a 2x2 contingency table alongside a graphical plot, but can only see how to output to the console. Is there a library that can do this? Thanks for any suggestions, Parker [[alternative HTML version deleted]]

I am setting up base plots -- one in viewport A and and one in B. This part works fine. But if I go back to A after having done B and add horizontal lines it seems to not use the correct coordinates. How do I tell it to resume using A's coordinates? I am already using par(fig = gridFIG()) but it seems that that's not enough to reestablish them. What happens is that when I go back to

I am setting up base plots -- one in viewport A and and one in B. This part works fine. But if I go back to A after having done B and add horizontal lines it seems to not use the correct coordinates. How do I tell it to resume using A's coordinates? I am already using par(fig = gridFIG()) but it seems that that's not enough to reestablish them. What happens is that when I go back to

I'm trying to create a layout with named viewports that I can use for other functions. I create the viewport tree that I want, and a list of grobs with the viewports describing where they should go. library(grid) vp <- vpTree( viewport(layout=grid.layout(2,2), name="layout"), children=vpList( viewport(layout.pos.col = 1, layout.pos.row=1, name="tl"),

A year ago I had posted this code https://stat.ethz.ch/pipermail/r-devel/2005-June/033508.html and the associated discussion was that there would be a print.trellis argument that could be used to eliminate the need for with.vpPath or with.viewport there. I assume that that is what draw.in= in print.trellis is for. When I try it I get an error. I did notice that ?print.trellis says draw.in=

list(...) I can not get at the grid viewports in a ggplot2 plot. I know there is supposed to be a viewport called "panel_1_1" but downViewport() can't find it. Has the viewport been popped? I had a quick look at the functions involved (eg ggplot_plot) but there is no obvious problem there. > library(ggplot2) > qplot(1:10, 1:10) > current.viewport() viewport[ROOT] >

Hi, I am wondering whether some of you have a pointer to an alternative. I am currently writing my thesis in Latex (several documents), well grown over time, I am sure many of you are familiar with the situation. Likewise I am doing the quantitative analysis with R, and again a lot of lines of more or less wellwritten code. The outputs are graphs (which one can wonderfully integrate as PNG objects

Dear R-listers I am writing a manuscript for a scientific journal in clinical medicine. I have three groups of patients, and I present a 10*3 table of their characteristics in Table 1. Some of their characteristics, e.g. their age, are on a continuous scale, others are dichotomous. I am thinking of presenting the age distribution in each group as miniature graphs, each of which must fit in one

Why does the seekViewport at the bottom give an error? > xyplot(Sepal.Length ~ Sepal.Width, iris, group = Species, col = 11:13, + auto.key = TRUE) > grid.ls(view = TRUE) ROOT GRID.rect.89 plot1.toplevel.vp plot1.xlab.vp plot1.xlab 1 plot1.ylab.vp plot1.ylab 1 plot1.strip.1.1.off.vp GRID.segments.90 1 plot1.strip.left.1.1.off.vp

Hi, Please consider the example below. How can I manage to overlay the points the way I want in the second case? Thanks, Joh library(ggplot2) # Modify data to match "real" case myDiamonds <- diamonds myDiamonds[["clarity"]] <- as.character(myDiamonds[["clarity"]]) myDiamonds[myDiamonds[["clarity"]]=="I1","clarity"] <- 1