similar to: read.table with different row lengths

HI all, This is probably simple, but I haven't been able to locate the answer either in the Import Manual or from searching the listserve. I have tab-delimited data with different numbers of elements in each row. I want to read it into R, such that R fills in "NA" in elements that have no data. How do I accomplish this? Example: DATA on disk: 1 -0.068191 -0.050729

I have a data frame that looks like this: > print(df) V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 1 FN 8.637 28.890 31.430 31.052 29.878 33.215 32.728 32.187 29.305 31.462 2 FP 19.936 30.284 33.001 35.100 30.238 34.452 35.849 34.185 31.242 35.635 3 TN 0.000 17.190 16.460 21.100 17.960 15.120 17.200 17.190 15.270 15.310 4 TP 22.831 31.246 33.600 35.439 32.073

I am trying to read in a pipe delimited file that has rows with varying number of columns, here is my sample data: A|B|C|D A|B|C|D|E|F A|B|C|D|E A|B|C|D|E|F|G|H|I A|B|C|D A|B|C|D|E|F|G|H|I|J You can see line 6 has 10 columns. Yet, I can't explain why R does like so: > test <- read.delim("mypaths4.txt", sep="|", quote=NULL, header=F,

Estimada comunidad, estoy extrayendo una linea de texto desde varios archivos (unos 200) de esta manera: dat <- read.csv(filenames[i], header=FALSE, sep=",", dec=".", skip=11, nrows=1) pero al tratar de leer esa linea desde el archivo numero 54 obtengo el siguiente error: Error in type.convert(data[[i]], as.is = as.is[i], dec = dec, na.strings = character(0L)) :

Dear R-list, I have a dataset, say (the real dataset is 20 columns,110200 rows). > my.reducedID V1 V2 V3 V4 V5 V6 V7 V8 V9 [1,] 1 0 0 1 14 3 1 0 2 [2,] 2 0 0 1 14 3 1 0 2 [3,] 0 1 0 1 14 2 1 0 2 [4,] 0 0 1 1 14 3 1 0 2 [5,] 0 1 1 0 14 2 1 0 2 [6,] 0 0 0 1 14 3 1 0 2 [7,] 0 0 0 1 0 3 1 0 2 [8,] 0

Hello! I am R beginner and I have a question obout a simple matching. I have to datasets that i read in with: MalVar29_37<-read.table("MalVar29_37.csv", sep = ";") FemVar29_37<-read.table("FemVar29_37.csv", sep = ";") They look like this and show binary variables: V1 V2 V3 V4 V5 V6 V7 V8 V9 1 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 1

En innebygd og tegnsett-uspesifisert tekst ble skilt ut... Navn: ikke tilgjengelig Nettadresse: https://stat.ethz.ch/pipermail/r-help/attachments/20060921/b479a8df/attachment.ksh

Dear, I am using R I'm trying to identify and remove columns and rows in a data frame that are has elements equals. For example in dataframe below. The columns 1, 2,3,4,5 ,6 and 10 (file1) has elements equal then should be removed. How can I ask R to remove those columns with same elements in new dataframe (file2) to result a matrix as follows: file1 1 0 2 2 1 1 5 1 1 1 1 0

Sadly the latest optimization broke completely everything. The asm code isn't gas compliant. the libFLAC linker script has a typo, disabling the asm optimization and/or altivec won't let a correct build anyway. Instant fixes for the asm stuff: sed -i -e"s:;:\#:" on the lpc_asm.s to load address instead of addis+ori you could use lis and la and PLEASE use the @l(register)

Hello, I'm looking for a solution for the following problem: 1) I have a folder with several csv files; each contains a set of measurement values 2) The measurements of each file belong to a position in a two dimensional matrix (lets say "B02.csv" belongs to position 2,2 3) The size of the matrix is fix 4) I cannot assure to have a csv file for each position 5) Each position

Dear all, I am so ashamed to pollute the list with a trivial question, but it is a long time I have not used R, and I need a result in the next one or two hour... I have a table which I have loaded with read.table, and I want to make the mean of its columns. > slides <- read.table("slides.txt") > slides [1:5,] V1 V2 V3 V4 V5 V6 V7 V8 1

Hola!! tengo un data.frame donde cada fila corresponde a un año y cada columna a un mes (De enero a diciembre) > head(valT) V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 1941 18.0 16.3 15.2 10.1 8.1 8.3 8.8 9.2 7.9 12.2 11.9 14.6 1942 17.2 15.9 13.6 11.6 8.7 6.2 6.4 7.2 9.7 12.0 14.1 16.7 1943 17.6 17.3 13.5 12.5 10.5 7.0 8.2 7.9 -999.9 -999.9

Hello, I need some form of a "permutative" operation on a numeric vector x x = (v1, v2, v3, ..., vN) that produces x.r = (v1, v1+2, v1+v2+v3, ... v1+v2+...+vN) If the operation is sum() I can run x <- 5:8 m <- matrix(rep(x, length(x)), ncol=length(x)) (x.r <- rowsum(m * upper.tri(m, diag=TRUE), rep(1, length(x)))) But there's two things I don't know and kindly

I am having a problem with creating a vector from a rows or columns, I searched around and found as.vector(x), but it does not seem to do what it says it does I have included an example below, of doing what would seem to be the method required to create a vector, but instead it creates a one row data frame. What is required to actually create a vector. Many thanks Philip > data

Dear all, I am using grep but I did not understand the problem as I am doing something wrong.Please help me. I am using this code- sf=data.frame(sapply(df[],function(x) grep('\\.&\\,', df[,9]))) the thing is i have a data frame(df) like this- 10 135349467 g G 4 0 0 5 ,,,., 10 135349468 t T 2 0 0 5 ,,c., 10 135349469 g G 7 0 0 5 ,,a., 10 135349470 c C 8 0 0 5 ,,,., 10 135349471

Hi, list- ?? I've got a large list of multi-column data and I'd like to filter it according to a threshold, such as, "show me the values that are above 0.4 for each line." For instance, if the line of data were: > line v1 v2 v3 v4 v5 v6 v7 v8 v9 1 -0.32 0.66 -0.35 -0.82 0.38 0.66 -0.02 -0.11 -0.64 I can do this > line[,line >= 0.4]

Buen Día Jorge, Es algo parecido a lo que necesito, pero no debo tener en cuenta la suma de la columna sino por ejemplo: Tengo el elemento [1,2] en la matriz A que contiene el número 5 y por otra parte tengo la columna [,2] de la Matriz B con valores por ejemplo (1,2,3,4,5,6,7,8,9,10,11,12). El resultado debería ser un vector que en la posición uno debe indicar que existen 7 valores mayores a 5

Consider the following.... > fileLines V1 V2 V3 V4 V5 V6 V7 V8 1 AB 20091224 156.0 156.0 154.00 154.00 55 1198 2 AB.C 20091224 156.0 156.0 156.00 156.00 0 0 3 ABF10 20091224 156.0 156.0 156.00 156.00 55 444 4 ABH10 20091224 156.0 156.0 156.00 156.00 0 749 5 ABH11 20091224 157.2 157.2 157.20 157.20 0 0 6 ABH12

Hi, I have a file that looks like this : one,0 two,0.591,0 three,0.356,0.350,0 four,-0.098,0.072,0.380,0 five,0.573,0.408,0.382,0.062,0 six,0.156,0.232,0.517,0.424,0.303,0 seven,0.400,0.414,0.611,0.320,0.401,0.479,0 eight,0.282,0.375,0.512,0.346,0.308,0.463,0.605,0 nine,0.519,0.484,0.467,0.167,0.455,0.311,0.574,0.557,0 I want to create a data matrix out of it, so I tried this :

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