similar to: fetch uneven

> b [1] "2" "1" "1" "1" "1" "1" > pie(b) Error in pie(b) : 'x' values must be positive. Can someone help me? And sorry i am an beginner -- View this message in context: http://r.789695.n4.nabble.com/x-values-must-be-positive-tp3381744p3381744.html Sent from the R help mailing list archive at Nabble.com.

I have a new device that takes measurements anywhere from every second, to every 15 minutes (depending on changes). The matrix has a date, time and Y column (Y is the measurement). For three days it is 25,000 rows. How do I average the measurements by every 30 minutes so my matrix is 48 rows per day? I have been working on this and cannot figure out a simple method. Any ideas? Thank you. ----- In

Hello, I have a question about the y-axis of plots. Actually I had about 60 values. About 80 percent of these values are less than 0.2, then the other 20 percent values are more than 4,max is 10. So when I plot these values together, the y-axis's range will go 0 to 10, and my major values (80% values <0.2) will be pressed around 0 on the bottom, while other several dots will scatter in

Hi R-helpers I would like to produce a histogram with uneven bins (e.g., 0, 1-2, 3-5, 6-10, 10-20, >20) but I would like the resulting bars to be the same width ( i.e., a bar's width would not be proportional to its corresponding bin size). Also, the x and y axes of my histograms frequently (almost always, actually) extend beyond the axis labels (i.e., there are unlabeled bars). I would

I have 4 univariate time series that I believe have correlation between them, I want to create a VAR model between them all. However I have an issue as 3 of them are the same length, however the 4th is smaller. meaning that i cannot use the 4th variable , is there anyway R can get round this issue? > length(tstemp) [1] 746 > length(tspres) [1] 746 > length(tswind) [1] 746 >

I am trying to import a file of daily index closing prices in business time which excludes weekends and holidays so deltat is not constant. My file looks like the following: date close 2003.0055 47.05 2003.0082 45.71 2003.0164 43.45 2003.0192 42.96 2003.0219 44.56 2003.0247 42.99 2003.0274 42.28 2003.0356 41.74 etc. >From what I saw in the EuStockMarkets file, it appears

i have > x [1] 1 2 3 4 5 6 > y [1] 34 5 6 > z<-cbind(x,y) > z x y [1,] 1 34 [2,] 2 5 [3,] 3 6 [4,] 4 34 [5,] 5 5 [6,] 6 6 i don't want recycling, instead can we put NA /0 like below> z x y [1,] 1 34 [2,] 2 5 [3,] 3 6 [4,] 4 NA [5,] 5 NA [6,] 6 NA & want distance matrix -- View this message in context:

I truncated and simplified my code and the read in data that I'm working with to isolate the issue. Here is the read in data and R script respectively: http://r.789695.n4.nabble.com/file/n4604287/test.csv test.csv http://pastebin.com/rCdaDqPm Here is the terminal/R shell output that I hope the above replicates on your screen: > source("elecLoad.r", echo = TRUE) > #Load

Hello, I am sure I am not the only person with this problem. I have a list with n elements, each consisting of a single column matrix with different row lengths. Each row has a name ranging from A to E. Here is an example: alph[[1]] A 1 B 2 C 3 D 4 alph[[2]] A 1 C 3 D 4 alph[[3]] A 1 D 4 E 5 I would like to create a matrix from the elements in the list with n columns such that the row names

I didn''t think this was possible, but apparently it is. How does this work? How do you mirror data on a 3 disk set? This message posted from opensolaris.org

I am not really sure what the warning means but I think your underlying problem is that all your variables are factors. Did you intend the values in each variable to be character? data.frame':??? 3 obs. of? 5 variables: ?$ V1: Factor w/ 3 levels "Name1","Name2",..: 1 2 3 ?$ V2: Factor w/ 3 levels "nam1","name-1",..: 1 3 2 ?$ V3: Factor w/ 3 levels

Suppose I have a text file that I want to read into R like the following: X Y 649 699 657 891 714 632 849 727 721 597 791 868 874 652 405 978 733 549 790 This is a simple example -- I could have a huge file with many columns of unequal lengths. What is the best way to do it? I can't see how a data frame can be used. I checked the FAQ and did a web search on the topic but I came up

Dear R-gurus! Is it possible within boxplot to break the y-scale into two (or anything)? I'd like to have a normal linear y-range from 0-10 and the next tick mark starting at, say 60 and continue to 90. The reason is for better visualising the outliers. All the best, Kare [[alternative HTML version deleted]]

Is this the solution? > d1<- as.data.frame(lapply(data,as.character),stringsAsFactors=FALSE) > str(d1) 'data.frame': 3 obs. of 5 variables: $ V1: chr "Name1" "Name2" "Name3" $ V2: chr "nam1" "name_12" "name-1" $ V3: chr "nam2" "nam_34" "name-2" $ V4: chr "nam3"

Is there some reason why > (1:2)+(1:3) [1] 2 4 4 Warning message: In (1:2) + (1:3) : longer object length is not a multiple of shorter object length can't be made into an error? I realise it was there in S-PLUS, but since it produces a warning there can't be many examples on CRAN or Bioconductor using it, and I can't think of any situation where it would be used deliberately.

Hello, I have quite a simple problem that I believe can be solved quite easily. I have a dataframe as such: Symbol Date Time Exchange TickType ReferenceNumber Price Size 1 3:YMZ7.EC 12/03/2007 08:30:00 EC B 83916044 13387 9 2 3:YMZ7.EC 12/03/2007 08:30:00 EC A 83916045 13388 1 3 3:YMZ7.EC 12/03/2007 08:30:00 EC B 83916054

I have a list of data that is delimited by a / and, as long as there is an equal number of delimiters, I can parse the data and put it into a data frame: > t1<-c("a/a/a","b/bb/bbb","ccc/cc/c") > t2<-strsplit(t1,"/") > t3<-data.frame(t2) > t3 c..a....a....a.. c..b....bb....bbb.. c..ccc....cc....c.. 1 a

Good day: I am trying to use readcsvIts("nwr_data_qc.txt",informat=its.format("%Y%m%d%h%M %Y"),header=TRUE,sep="",skip=0,row.names=NULL,as.is=TRUE,dec=".") to read in a file (nwr_data_qc.txt) that looks like this: Time Y M D H Min CO2 2000.18790 2000. 3. 9. 18. 30. 373.60 2000.20156 2000. 3. 14. 18. 30. 373.34

Here is a small reproducible example: data <- structure(list(V1 = structure(1:3, .Label = c("Name1", "Name2", "Name3"), class = "factor"), V2 = structure(c(1L, 3L, 2L), .Label = c("nam1", "name-1", "name_12"), class = "factor"), V3 = structure(1:3, .Label = c("nam2", "nam_34",

Hi all, recently when working with GlobalISel we have often encountered cases in the legalizer where instructions could not be narrowed because the narrowing code relies on G_UNMERGE_VALUES and therefore requires the source type to be a multiple of the narrow type. Often times these instructions can be widened without any problem to a fitting type. This has us writing legalization rules like