similar to: read.table with numeric row names

Dear all, The following causes me trouble: > a <- data.frame(2:5,3:6,4:7) > str(a) `data.frame': 4 obs. of 3 variables: $ X2.5: int 2 3 4 5 $ X3.6: int 3 4 5 6 $ X4.7: int 4 5 6 7 > str(data.matrix(a)) int [1:4, 1:3] 2 3 4 5 3 4 5 6 4 5 ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:4] "1" "2" "3" "4" ..$ : chr

Hi R Users, I have been trying to work out how to rename column names using grep, basically I have generated these column names using tapply: [1] "NAME" "X1.1" "X2.1" "X3.1" "X4.1" "X5.1" "X6.1" "X7.1" "X8.1" [10] "X1.2" "X2.2" "X3.2" "X4.2"

I'm a beginner of R. I can use runif() to generate uniformly distributed numbers, but I don't know which function can generate uniformly distributed random integers, or what kind of method do? Thanks! -- View this message in context: http://www.nabble.com/how-to-generate-uniformly-distributed-random-integers-tf4960778.html#a14208376 Sent from the R help mailing list archive at

[text file is also attached in case you find the format of email difficult to understand] Dear useRs,You must all the planning for the christmas, but i am stucked in my office on the following issue i had a file containg information about station name, year, month, day, and discharge information. i opened it by using following command > dat1<-read.table("EL.csv",header=TRUE,

Hey All, I have a large dataset and I want to calculate the average of each column then return a new dataset. Here is my question: I dont know if there is a function that can allow me to calculate the average every 60 records of data in the whole dataset, and return a new data frame. Not sure if I have to divide the dataset first for every 60, then do the mean or can i directly do that. thanks

hi all, how can I create sequences that start from a known vector, say x1 and end with another say x2- also suppose all the sequences will be the same length. I don't want to use a for loop x1<-c(1,2,3,4); x2<-(3,4,5,6); what I want is 1 2 3 4 2 3 4 5 3 4 5 6 Thanks ----- Yasir H. Kaheil Columbia University -- View this message in context:

dear useRs, i have a list containing 16 matrices. i want to calculate the column mean of each of them. i tried >sr <- lapply(s,function(x) colMeans(x, na.rm=TRUE)) but i am getting the following error >Error in colMeans(x, na.rm = TRUE) : 'x' must be numeric can it be done in any other way? and why i am getting this error?? thanks in advance.. elisa [[alternative

Hi, How can I generate a random signal that's correlated with a given signal at a given correlation (say 0.7)? I've been looking at rmvnorm etc but don't seem to figure it out. Thanks ----- Yasir H. Kaheil Columbia University -- View this message in context: http://www.nabble.com/generating-a-random-signal-with-a-known-correlation-tp18932541p18932541.html Sent from the R help

Hi R users I am trying to create a spatial join between two datasets. The first data set is large and contains descriptive data including x and y co-ordinates. The second dataset is small and has been selected spatially. The only data contained within the second dataset is the x and y coordinates only i.e. no descriptive data. The aim of a join made between the two datasets is to select

Hello, I have the following dataset. Please note that there are missing values on records 4 and 5: id,age,weight,height,gender 1,22,180,72,m 2,13,100,67,f 3,5,40,40,f 4,6,42,,f 5,12,98,66, 6,50,255,60,m I'm using the "By" function like this: list1 <- by(dataset[c("weight", "height")], dataset[c("age", "gender")],

Hello, I'm trying to create a custom function that "mean-centers" data and can be applied across many columns. Here is an example dataset, which is similar to my dataset: *Location,TimePeriod,Units,AveragePrice* Los Angeles,5/1/11,61,5.42 Los Angeles,5/8/11,49,4.69 Los Angeles,5/15/11,40,5.05 New York,5/1/11,259,6.4 New York,5/8/11,187,5.3 New York,5/15/11,177,5.7

Hi, How do you subset a dataframe so that you only have columns: 1. that contain one or more NAs? 2. that contain factors with greater than or equal to 32 levels? How do you remove from a dataframe columns** 3. with one or more NA's? 4. that contain factors with greater than or equal to 32 levels? ** I know how to remove columns at a basic level but I am trying

I have a dataframe of 10 different columns (length of each column is the same). I want to eliminate any column that has 'NA' greater than 15% of the column length. Do i first need to make a function for calculating the percentage of NA for each column and then make another dataframe where i apply the function? Whats the best way to do this.

Dear all, I have a data frame, which looks like this: Subject | Block | Trial | Feature1 | Feature2 .... 1 | 1 | 1 | ... | ... 1 | 1 | 2 | ... | ... 1 | 2 | 1 | ... | ... 1 | 2 | 2 | ... | ... 1 | 3 | 1 | ... | ... ...| ...| ...| ... | ... Can I remove the "Trial" column by averaging all the rows and without using a "for loop"? At the end my data frame should look like

Dear List, I have some problem with my simulation code. Here is output from R: > sim.sp <- function(data,CM,n,N) + { + C <- matrix(rep(NA,N),ncol=1) + for(i in 1:N) + { + j <- n + xx <- which(colSums(CM[j,])==1) + V <- names(xx) + V <- paste(V, collapse="+") + V <- paste("SBA~", V) + rd <- round(nrow(data)*(2/3)) + d <-

Dear R users, I came up to a problem by taking means (or other summary statistics) of a big dataframe. Suppose we do have a dataframe: ID V1 V2 V3 V4 ........................ V71 1 6 5 3 2 ........................ 3 2 3 2 2 1 ........................ 1 3 6 5 3 2 ........................ 3 4 12 15 3 2 ........................ 100

Dear List, I have got error message when I run the R-code. Can anyone has a suggestion? v.code <- df.bm7[,c(10:31)]; v.code[1:3,] names(v.code) CM = v.code # variable binomial code sim.sp <- function(data,CM,n,N) { C <- matrix(rep(NA,N),ncol=1) for(i in 1:N) { j <- n xx <- which(colSums(CM[j,])==1) V <- names(xx) V <- paste(V,

Hi again, the previous answers were great. I was able to do what was planned. Now, I would like to do the following to a matrix: || year | event | team | total || where I can have multiple "event" per "team", but each "team" only has a "year" and a "total". Thus, this table has multiple lines for the same "team" where only the

http://r.789695.n4.nabble.com/file/n2260087/%E6%8D%95%E8%8E%B7.png I am going to plot my data set like this, with means and 25% & 75% quentiles. I've tried "boxplot", but the output is not what I want. Should I use other functions? Thanks -- View this message in context: http://r.789695.n4.nabble.com/ploting-dots-with-quentiles-tp2260087p2260087.html Sent from the R help

Hello, I?ve tried several times to learn R, but have never gotten past a particular gate. My data are organized by column in Excel, with column headers in the first row. The columns are of unequal lengths. I export them as CSV, then import the CSV file into R. I wish to summarize the data by column. R inserts NA for missing values, then refuses to operate on columns with NA. R is importing