similar to: Help with if statements

Hi, all: My folders are organized in such a way: root ----branch1 ---------------A -----------------------file1.txt -----------------------file2.txt ---------------B -----------------------file1.txt -----------------------file2.txt ----branch2 ---------------A -----------------------file1.txt -----------------------file2.txt ---------------B -----------------------file1.txt

Hi, I have the following problem: I have a data.frame with 36 sample sites (colums) for which I have covariates in 3 categories: Area, Month and River. Each Area consists of 3 rivers, which were sampled over 3 month. Now I want to fuse River 1-3 for one area in one month. To get a data.frame with 12 colums. I am trying to do a "for loop" (which may be a complicated solution, but I

Hi I needed some help with ANOVA I have a problem with My ANOVA analysis. I have a dataset with a known ANOVA p-value, however I can not seem to re-create it in R. I have created a list (zzzanova) which contains 1)Intensity Values 2)Group Number (6 Different Groups) 3)Sample Number (54 different samples) this is created by the script in Appendix 1 I then conduct ANOVA with the command >

Does anyone know an easy way to convert all the zero values in a imported csv table into NA's [[alternative HTML version deleted]]

Hi, Apologies for the long mail. I have a data.frame with columns of price/mcap data for a portfolio of stocks, and the date. To get the total value of the portfolio on a daily basis, I calculate rowSums of the data.frame. > set.seed(1) > ab <- matrix(round(runif(100)*100),nrow=20,ncol=5) > ab[1:5,4:5] <- NA > ab[6:10,5] <- NA > ac <- as.data.frame(ifelse(ab <=

--- On Fri, 15/5/09, Amit Patel <amitrhelp at yahoo.co.uk> wrote: > From: Amit Patel <amitrhelp at yahoo.co.uk> > Subject: Help with loops > To: r-help at r-project.org > Date: Friday, 15 May, 2009, 12:17 PM > Hi > I am trying to create a loop which averages replicates in > my data. > The original data has many rows. and consists of 40 column > zz[,2:41]

Sorry i had a misprint in the appendix code in the last email Hi I needed some help with ANOVA I have a problem with My ANOVA analysis. I have a dataset with a known ANOVA p-value, however I can not seem to re-create it in R. I have created a list (zzzanova) which contains 1)Intensity Values 2)Group Number (6 Different Groups) 3)Sample Number (54 different samples) this is created by the

Hi I have found a little problem with an R script. I am trying to merge some data and am finding something unusual going on. As shown below I am trying to assign (MatchedValues[Value2,Value]) to (ClusteredData[k,Value]) which are two separate dataframes. 1) By the following command you can see that the value im transferring is 481844.03 > MatchedValues[Value2,Value] [1] 481844.03 6618

Hi I have tried many attempts but cant get the loop right, as I am not a strong programmer. What I am basically trying to do is compare 2 spreadsheets. The problem is that one of them only contain a portion of the overall data (TESTSAMP), where the other has a full datasetFULLSAMP. From the complete set I would like to remove the rows of data which are not in the TESTSAMP. Column 1 contains the

Hi I am trying to calculate the row sums of a matrix i have created The matrix ( FeaturePresenceMatrix) has been created by 1) Read csv 2) Removing unnecesarry data using [-1:4,] command 3) replacing all the NA values with as.numeric(0) and all others with as.numeric (1) When I carry out the command TotalFeature <- rowrowSums(FeaturePresenceMatrix, na.rm = TRUE) I get the following

Hello! My code below creates a data frame and a plot for it. However, I can't figure out how to add a legend that is not ON the plot itself, but outside of it (e.g., to the right of my graph or below it). I tried something: I put a line par(xpd=T, mar=par()$mar+c(0,0,0,4)) right before my plot command), but that screwed up all my gridlines - they covered all graph and do not coincide with

Hello, everybody! I have a code below that creates a data set and then a stacked bar chart based on that data set. No need to look at it - just notice please that my horizontal axis is a date varible (x=my.data$date). I have a question about the last 2 lines of this code: grid(nx=NULL,ny=NULL,col = "lightgray", lty = "dotted",lwd = par("lwd")) axis(1, las = 2) Could

For the query below I have also included the follwing information. Thanks for your replies > str(FeaturePresenceMatrix) chr [1:65530, 1:40] "0" "0" "0" "0" "1" "0" "0" "0" "0" ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:65530] "4" "5" "6" "7" ...

Dear R-ers! Asking for your help with building the stacked area chart for the following simple data (several variables - with date on the X axis): ### Creating a data set my.data<-data.frame(date=c(20080301,20080402,20080503,20090301,20090402,20090503,20100301,20100402,20100503), x=c(1.1,1.0,1.6,1,2,1.5,2.1,1.3,1.9),y=c(-4,-3,-6,-5,-7,-5.2,-6,-4,-4.9),

Hi, For very large matrices, is this the most efficient way to add two variables together? ############################# attach(attenu) new<-rowSums(cbind(mag, station)) ############################# Also, could I be directed to some resources for working with very large datasets? Thanks

Hello R experts, I am trying to analyze this dataset and am stuck on this problem for quite some time now. I am using mt.rawp2adjp. the output that came out was a matrix with two colums since I had asked it to calculate the adjusted p values using one method. so it has the two columns as: rawp BH I combined these using cbind with my actual dataframe. checked using head all was fine. thereafter I

Hello! If you run the whole code below, it'll produce a stacked diagram. And it looks good - because the tick-marks are aligned with the grid. However, if I stretch the graph window, grid becomes misaligned with the tickmarks. Or, rather, it seems aligned for the first and the last tick mark, but not for tickmarks in between. Can it be addressed? Thank you! Dimitri ### Creating a data set

Hi i am using a script which involves the following loop. It attempts to reduce a data frame(zz) of 95000 * 41 down to a data frame (averagedreplicates) of 95000 * 21 by averaging the replicate values as you can see in the script below. This script however is very slow (2days). Any suggestions to speed it up. NB I have also tried using rowMeans rather than adding the 2 values and dividing by 2.

Hi I have got a long script which will not run for me as i keep getting errors : > source("clusterfixV1_4.r") Error in source("clusterfixV1_4.r") : clusterfixV1_4.r: unexpected symbol at 158: eck[k,2] <- as.numeric(1) 159: #ClusterInfo[k,2] <- "Clustered I have sorted all the ones i can but i am having a problem here Can anyone tell me the

Hello R For expierienced user, the following problem will be easy to solve: a<-c(0,1,0,1,0,2,3,4,3,2) b<-c(3,3,3,4,4,4,7,7,7,10) c<-data.frame(a,b) Data Frame c contains tow colums. I would like to sum up all values in a as long as b stays the same: sum(a[which(b==1)]) does this, but i have to manually put in b then i tryied st like this, but i canno't save it properly for (i