Re: [R] adding a line across plots in xy plot with panel.abline

You misspelled panel.abline as panel.labline in your code you included here. If that's the real code, that's why. -- Bert Bert Gunter "Data is not information. Information is not knowledge. And knowledge is certainly not wisdom." -- Clifford Stoll On Sun, Sep 13, 2015 at 8:43 PM, Christin

Re: [R] removing outlier

If this mailing list accepted formatted submissions I would have used the trèsModernSarcastic font for my first sentence. Failing the availability of that mode of communication I am (top) posting through Nabble (perhaps) in "Comic Sans". On Sat, Sep 12, 2015 at 9:52 AM, David Winsemius

Re: [R] How to read CSV from web?

Also, you should bookmark this link. http://www.r-bloggers.com/this-r-data-import-tutorial-is-everything-you-need/ On Wednesday, July 29, 2015 at 6:41:35 AM UTC-4, jpara3 wrote: > > data<-read.csv(" > https://raw.githubusercontent.com/sjkiss/Survey/master/mlogit.out.csv",header=T,sep=",";) >

Re: [R] How to read CSV from web?

How about this? library(XML) library(RCurl) url <- "https://raw.githubusercontent.com/sjkiss/Survey/master/mlogit.out.csv"; urldata <- getURL(url) data <- readHTMLTable(urldata, stringsAsFactors = FALSE) On Wednesday, July 29, 2015 at 6:41:35 AM UTC-4, jpara3 wrote: > > data<-read.csv("

[R] adding a line across plots in xy plot with panel.abline

Dear all, I want to draw a line at DI=1 across all four graphs in the xy plot, I have used panel.abline, but I failed to do so, does any one has an idea of what has went wrong? structure(list(Date = structure(c(6L, 7L, 2L, 4L, 13L, 17L, 5L, 12L, 4L, 11L, 14L, 9L, 7L, 2L, 4L, 13L, 10L, 17L, 5L,

Re: [R] Please read **Urgent** Need help with R

On 14/09/15 00:31, Mehmet Doğan wrote: Dear All, I can NOT format and create an xts object of my data in order to forecast Volatility. Moreover I can NOT plot the data. basically i cant work with the data i have. I need to finish my project till tomorrow. Could you please help me with those pro

[R] Problem solved

Further to my posting re: extracting case values from ancova adjusted means, I have solved the problem. Regards, Brian Jessop [[alternative HTML version deleted]] __ R-help@r-project.org mailing list

[R] Please read **URGENT** Need help with R

library(xts) library(zoo) EURUSD<-read.csv("Data_Forecast/EURUSD.csv") # to load the data EURUSD<-read.csv("Data_Forecast/EURUSD.csv",stringsAsFactors=F) # to load as a factor #?? EURUSD$Date<-as.Date(EURUSD$Date,format="%Y-%m-%d" , "h:m:s") # here the code is not working to form

Re: [R] kendall tau distance

The function takes a two way table. Assuming your example involves two ordinal vectors c(1,2,3,4,5) and c(3,4,1,2,5), you need: > xy <- table(c(1,2,3,4,5),c(3,4,1,2,5)) > xy 1 2 3 4 5 1 0 0 1 0 0 2 0 0 0 1 0 3 1 0 0 0 0 4 0 1 0 0 0 5 0 0 0 0 1 > cd <- ConDisPairs(xy) > cd $pi.c

Re: [R] Please read **Urgent** Need help with R

Hi Mehmet, Did you send this in HTML? That's what it looks like. It is currently almost unreadable. You need to reformat it and send it as plain text. You need to reduce the code to the key parts if possible. It looks like most of the code is unneeded for the problem and is just a distraction.

Re: [R] a question about data manipulation in R

You are in the right place but the question in not very clear. Have a look at the links below for some suggestions on how to ask a question on R-help. I think we need the data in dput() format. See ?dput or the discussion of dput() in the links. http://stackoverflow.com/questions/5963269/how-to

Re: [R] For logical i and length(i) > length(x), x[i] <- value makes length(x) == length(i)

>>From it, I infer that, if i is logical and length(i) >= length(x), x[i] <- >>value has >the same effect to x[which(i)] <- value, where which(i) takes >>indices where i is >T. The return value of which(i) gives only the indices of the TRUE values in i. It does not return the length of i. Hence

Re: [R] a question about data manipulation in R

Dear Zahra Your email is completely unreadable because you posted in HTML. Please reset your mailer and try again. On 13/09/2015 06:12, Zahra Karimi via R-help wrote: Hello, I have a data like this:1 2331 3331 4551 3452 5432 4332 3442 4003 4443 1113 0003 432I want to change it to this new da

[R] Please read **Urgent** Need help with R

Dear All, I can NOT format and create an xts object of my data in order to forecast Volatility. Moreover I can NOT plot the data. basically i cant work with the data i have. I need to finish my project till tomorrow. Could you please help me with those problems? I also attached my data. the prob

Re: [R] Exporting from R to Excel or .csv

This is my first time posting here library(BradleyTerry2) library(xlsx) data(flatlizards) str(flatlizards) a <- data.frame(x=rnorm(10), y=runif(10)) b <- data.frame(w=rnorm(20), z=runif(20)) ablist <- list(a, b) write.xlsx(mydata, "c:/Test/mydata.xlsx") On Tuesday, June 16, 2015 at

Re: [R] For logical i and length(i) > length(x), x[i] <- value makes length(x) == length(i)

Thank you for looking. If the last element of i is TRUE, the largest value of which(i) is length(i). So, even if x[i] <- value were translated to x[which(i)] <- value, the result would have length(x) == length(i). Difference between x[i] <- value and x[which(i)] <- value in R would occur when

[R] a question about data manipulation in R

Hello, I have a data like this:1 2331 3331 4551 3452 5432 4332 3442 4003 4443 1113 0003 432I want to change it to this new dataset:c1    c2     c3233  543  444333  433  111455  344  000345  400  432  How can I do this in R? Please if this not the correct place to ask  my queston.. then could you

Re: [R] removing outlier

... and this, of course, is a nice example of how statistics contributes to the "irreproducibility crisis" now roiling Science. Cheers, Bert (Quote from a long ago engineering colleague: "Whenever I see an outlier, I never know whether to throw it away or patent it.") Bert Gunter "Data is not

[R] Model after random forest

Hi there, I´m using random Forest package to create a random Forest: model<-randomForest(A~.,data=mydata) , and I use the varImpPlot(model) to see which are the most important variables, so I obtain that C, D and F are the most important ones, but... How can I see the model, in which levels I