similar to: delete active dataset

Dear all, I want to get a series of boxplots (grouped by two factors) and I want to overlay the original observations and the following code does almost what I want: library(ggplot) ddf <- data.frame(x=factor(rep(LETTERS[1:4], each=30)), y = runif(120,0,10), grp = factor(rep(rep(1:3, 10), 4))) ggplot(ddf, aes(x, y, colour=grp)) + geom_boxplot() + geom_point() Yet the position of the points

I am very new to Linux so I probably am doing something stupid but I cannot seem to update to R 2.15 Using Ubuntu 12.02 Precise Penguin I realise that debian packages are not updated regularly so I tried to follow the insructions at the R-site So far, I have modified /etc/apt/sources.list to read ## R CRAN added 2012-06-12 deb http://probability.ca/cran/bin/linux/debian squeeze-cran/ Issued

A stupid question but does anyone know how to express the actual colours used by the main Canadian political parties? I want to do a couple of ggplot2 plots and have lines or rectangles that accurately reflect the party colours. I can probably play around with RColorBrewer or something to figure it out but if some some already has got them it would save me some time especially with the NDP

Dear All, I have a data sets as shown below A (Patient ID ), B and C are the Concentration of drug in blood on day 1 and day 4, D is the difference in conc. To do this in R I have written a code as follows, identified the number of patients who have more concentration on day 4 . Here I want to identify specifically the patient ID (is he patient 1 or 2 or 5 and 7), whose concentration is more. How

What am I missing? When I run the code below I get the error message "Error: ggplot2 doesn't know how to deal with data of class function" Googling suggests a message of "Error: ggplot2 doesn't know how to deal with data of class XXX" is not uncommon but I don't see why I am getting a "function" error unless I am using some reserved word?

Hello together, perhabs anyone of you, has an ideal, how i can do this: I have a matrix, like this one: [,1] [,2] [,3] [,4] abnr2 11425 11425 11555 11888 TIME 2 1 1 2 Cat 1 2 1

Is there a way to use read.csv() on such a file without deleting one of the header rows? Thanks.

I would like to plot two data sets (frequency (y-axis) of mean values for 0-1(x=axis)) on a single histogram for comparison. The hist() only allow the overlay of two histograms, and although barplot() allows beside=TRUE, it does not show frequency values (like hist) but rather all of the values. Is there any way that I can use the hist() to plot two data sets similar to the barplot(). Any help or

suddenly a few days ago it takes about a minute for local help to come up . i type : ?hist and get starting httpd help server ... done but only after a minute does http://127.0.0.1:15686/library/graphics/html/hist.html appear . Lee De Cola, PhD, MCP. DATA to Insight LDECOLA@COMCAST.NET Reston, Virginia 703 709 6972 571 315 0577 mobile [[alternative HTML version deleted]]

I am lousy at simple regex and I have not found a solution to a simple problem. I have a vector with some character values that I want to split. Sample data dd1 <- c( "XXY (mat harry)","XXY (jim bob)", "CAMP (joe blow)", "ALP (max jack)") Desired result dd2 <- data.frame( xx = c("XXY", "XXY", "CAMP",

Hi, I would like to use xyplot to create a figure. Unfortunately, I cannot find documentation in xyplot to specify alternating the x-axis tick labels with the x-axis tick marks. I can do this with the regular R plot function as follows. #A small version of my data looks like this data<-data.frame(matrix(ncol=3,nrow=12)) data[,1]<-rep(c(1,2,3),c(4,4,4)) data[,2]<-rep(c(1,2,3,4),3)

Hi, I have a histogram with values logged to the base 10 hist(log10(x),breaks=60) How do I show the log values on the x-axis and a second x-axis showing the real values? Thanks -- Shane [[alternative HTML version deleted]]

respectd sir,  i am working on regional frequency analysis of flood flow data and want to use packages lmomRFA, lmom, imomco,etc andby using these i want to find RMSE , errorbounds and absolute biase but could not make it clear to use, please help regards atta muhammad asif assistant professor atta_ycc@yahoo.com [[alternative HTML version deleted]]

Hello! I am using ggplot2: ggplot(myplotdata, aes(x=att_levels, y=WTP)) + geom_bar(stat="identity",fill="dark orange",colour="black", alpha = 1,position = "identity") + geom_text(aes(label=WTP),colour="black",size=4,hjust=1.1,position='dodge') + coord_flip() + xlab("") +

Hi, I was trying to make another legend for the rug plot. Sample code: library(ggplo2) ids <- paste('id_',1:3,sep='') before <- sample(9) after <- sample(1:10,9) dat <- as.matrix(cbind(before,after)) rownames(dat) <- rep(ids,3) position <- c(rep(10,3),rep(13,3),rep(19,3)) mdat <- cbind(melt(dat),position) ggplot(mdat, aes(position, value)) +

Hello all, I'm just starting to learn R and I heard a good way of doing that was R Commander. For my work I use a lot of time series, so I installed (and loaded) R Commander with epack. When I go to Ts-Models, after loading my data, I click on ARIMA Models tab. I load my variable D1 Ln Demand (1st differenced ln demand). I set my regular and seasonal p d q settings hit run and I get: [1]

Hi all, I am using quantile regression with svy design. I want to retrieve summary regression statistics (std error, p-value), since I don't have any in my output: Commands: clus1_d<- svydesign(id=~cd002_co, weights=~wtper, strata=~str, data=data) bclus1<-as.svrepdesign(clus1_d,type="bootstrap",replicates=100) fit1<-

I am following a document teaching how to use regression and right at the onset I get an R error. I understand that variables "conc" and "signal" should have the same length but I am using the what R manual suggests to drop the error and it is not cooperating. What gives? The manual says that the default is na.ombit by the way, not that it's addition does anything How

Hello, I am a new R -user and request your help for the following problem. I need to merge two dataset of longitudinal study which has two column (id and respose) common. when I used merge option to join the datas side be side, because of the repeated subject id, I got larger data set which is not accurate. I would like to connect twi data sets by id and response in such a way that data are

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