similar to: appending and merging data frames

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

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

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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]

R-SIG-Debian 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

Hello all, I would appreciate your thoughts on a seemingly simple problem. I have a database, where each row represent a single record. I want to aggregate this database so I use the aggregate command : D<-read.csv("C:\\Users\\test.csv") attach(D) by1<-factor(Class) by2<-factor(X) W<-aggregate(x=Count,by=list(by1,by2),FUN="sum") The results I

Hi, My error isErro em hist.default(dados[[1]], freq = TRUE, seq(0, 30, 0.5), prob = FALSE, : some 'x' not counted; maybe 'breaks' do not span range of 'x' hist(dados[[1]],seq(0, 30, 0.5), prob=TRUE, xlab="chuva (mm/dia)",ylab="frequência", main="", cex.lab=1.6, cex.sub=3,cex.axis=3,cex.main=6) Someone help me? [[alternative

Hi all, I have some graphs where the values on the X and Y axes are by default in exponent form like 2e+05 or 1.0e+07. Is it possible to make them in a more readable form like 10M for 1.0e+07 or 200K for 2e+05? Thanks and Regards, - vihan

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

Dear list, I am looking for a possibility to present results in a more graphical way by adding an axis. But I have trouble relating my data to the added axis. Imagine the following example: a <- c(10, 20, 30, 40) b <- c(50, 250, 500, 600) ba <- b/a par(las=1, mar=c(5,5,.5,5)) plot(a,b, type="b", pch=22, cex=2, col=4, lwd=2, ylim=c(0,650), xlim=c(0,45)) axis(4,

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

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",

Hello R community, I am computing weighted average statistic by using ddply function: My data set is: N1 T1 S1 I1 C1 FY-4 ROE11 EPS11 MKT11 N1 T1 S1 I1 C1 FY-3 ROE12 EPS12 MKT12 N1 T1 S1 I1 C1 FY-2 ROE13 EPS13 MKT13 N1 T1 S1 I1 C1 FY-1 ROE14 EPS14 MKT14 N1 T1 S1 I1 C1 FY0 ROE15 EPS15 MKT15 N1 T1 S1 I1 C1 FY1 ROE16 EPS16 MKT16 N1 T1 S1 I1 C1 FY2 ROE17

Hey everyone, I have again a loop question: After generating the dataset using Jan?s approach from my previous posting (http://r.789695.n4.nabble.com/Loop-over-several-variables-td4648112.html) I want to rename the Variables in the new dataset so that all y will be called tiy. Doing it separately the following line works fine: ti<-rename (ti,c(y5="tiy5")) So I thought I simply

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

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

Hi All, whenever I open R using the shortcut on desktop, there are 2 active datasets in the workspace, I tried to start the program from Start menu, same thing!! How can I delete these two active datasets and make sure whenever I restart the program, they wont appear? Thanks! [[alternative HTML version deleted]]

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

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

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("") +