similar to: GGPlot 2 and odfweave

I'm having problems with this example, it is posted with reproduceable code below, both with the normal 0-6 scale and the desired 3-6 scale (with bars removed). How can I get the graph to have the desired 3-6 scale without removing the bars. Thanks! #Data

Like this? # example using qplot library(ggplot2) meanprice <- tapply(diamonds$price, diamonds$cut, mean);meanprice cut <- factor(levels(diamonds$cut), levels = levels(diamonds$cut)) qplot(cut, meanprice, geom="bar", stat="identity", fill = I("grey50")) dev.new() # create a new graph to compare with qplot # Example using ggplot ggdata <-

Hi, I wanted to generate a plot which is almost like the plot generated by the following codes. category <- paste("Geographical Category", 1:10) grp1 <- rnorm(10, mean=10, sd=10) grp2 <- rnorm(10, mean=20, sd=10) grp3 <- rnorm(10, mean=15, sd=10) grp4 <- rnorm(10, mean=12, sd=10) mydat <- data.frame(category,grp1,grp2,grp3,grp4) dat.m <- melt(mydat) p <-

ggplot2 =================================== ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered

ggplot2 =================================== ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered

Hello R users, I found the odfWeave package to create an odf document. It seems to be a very nice tool. So i tried to used it to create a report with multiple plot: I create an odt file with some code inside: I connect to a mysql database I get a list of projects foreach project I would like to make a plot (a map exactly) then in a R console I use the odfweave (inFile, outFile) function.

Hi Hadley: I'm practicing writing a document using MikTex but can't make qplot to execute. It works when using 'plot' though. Is this a normal behaviour? \documentclass[9pt]{article} \title{ggplot2 example} \begin{document} \maketitle \section*{Examples of using ggplot2} The goal is to be able to import ggplot2 graphics into the annual report. Hadley Wickham has done a great

Hello, I am trying to make a plot using the code below. The plot is divided into two parts, using facet_grid. I would like the vertical axis (labelled 'place') to be different for each location (=part). So in the upper part, only places 'n' through 'z' are shown, while in the lower part, only places 'a' through 'm' are shown. I thought 'free_y'

Using R2.12.1 on Ubuntu 10.04.1 I've tried to run the following code chunk in odfWeave <<fig1, echo=TRUE,fig=TRUE,width=7,height=4>>= x<-seq(1:100)/10 y<-sin(cos(x/pi)) imageDefs <- getImageDefs() imageDefs$dispWidth <- 4.5 imageDefs$dispHeight<- 4.5 setImageDefs(imageDefs) X11(type="cairo") plot(x,y) title(main="sin(cos(x/pi))")

Hi, I've a question about the qplot. I use facets=Antibiotics~Gram.Stainng to draw 6 plots in a panel. Now the problem is within each 'Gram.Staining' categorical level there are some antibiotics does not have value (in my case is log(MIU)). Because some antibiotics are positive gram staining and some are negative. So my question is how to remove these missing value rows in the

Dear all, I'm resurrecting this old post (about 6 monts old, reproduced thereafter) because I have struggled against the same problem and found a solution so that I found it was worth posting for the record. The simple fix when you want to use odfWeave with 7-ZIP as a compressing/decompressing utility under windows is to use the 'x' instead of the 'e' option so as to preserve

I took some data from an online poll about which R GUI people used most and I am messing around with it to learn how to use qplot. Specifically I am making a horizontal bar graph and I have two questions. 1. The categories are ordered in rather strange way at least to me. It is not alphabetical or ascending/descending order of votes cast so i had to manually state the order I wanted which is

Dear all, I am doing my first steps with odfWeave. After running the r code (see below), I am trying to open the ODF-document with open office, but I am getting the error message: "The file is damaged, but it can be repaired". If I confirm the question and repair the file with open office, I can open it with the desired output, which seems to be fine. My system: R Version 2.9.1

Is this what you want? temp<-c(rep("Low",2),rep("Medium",2),rep("High",2)) light<-rep(c("Dark","light"),3) avg<-dat.avg2[,3] # se<-dat.avg2[,4] dat.avg.temp<-data.frame(cbind(avg,se)) dat.avg.temp<-data.frame(cbind(temp,light,dat.avg.temp)) dat.plot<-qplot(light,avg, fill=factor(temp),data=dat.avg.temp, geom="bar",

Dear all, Max, first of all, many thanks for providing the odfWeave package. My problem: Whenever I have multiple plots in one single chunk of my ODF file, only the last plot gets shown. The problem can be reproduced with this toy example (to be used in an ODF file together with odfWeave -- I'm using the newest version 0.7.3): <<plot1, echo=FALSE, fig=TRUE>>= for (i in 1:3) {

Hello, I'm having some issues getting a ggplot figure to show up in the knitr output, when placed in a loop. Specifically, I have a loop inside a knitr chunk : ```{r fitting, warning=FALSE, fig.width=10, fig.height=10, fig.keep='high'} for (t in 1:T) { # do a regression of tgt.vals ~ predictors and compute coeffs and fitted values (fit.vals / fit.adj.vals) plot(

Dear Max, dear list, I have trouble using odfInsertPlot to insert plots outside fig=TRUE chunks. My goal is to dump a bunch of (relatively uninteresting, but required) graphs from within a loop, possibly interspeded with some tables. This is not possible within a normal fig=TRUE chunk. odfInsertPlot() is able to insert a previously saved plot. When used in a fig=TRUE, results=hide chunk, it

I am learning ggplot2 commands specifically qplot for the time being and I have figured out how to create histograms and normal density curves but I am not sure how to add a normal bell curve or other dist. as well on top of a histogram. Here are the two graphs that I created. ## Histogram t<-rnorm(500) w<-qplot(t, main="Normal Random Sample", fill=I("blue"),

Hi everyone, Hi ggplot users in particular, ggplot makes it very easy to plot things given their names when you use it interactively (and therefore can provide the names of the columns). qplot(x,foo,data=A) where A has columns (x,y,foo,bar) for example but I would like to use this from inside a function to which the name of the column is given. I cannot find an elegant way to make this

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce