similar to: How to capture NA values

Dear all, I would like to ask you if R has a library that can work with different GPS formats For example  I have a string of this format N50° 47.513 E006° 03.985 and I would like to convert to GPS decimal format. that means for example converting the part N50° 47.513 to 50 + 47/60 + 513/3600. Is it possible to do that with R? What is the name of such a library? I would like to thank you in

Dear all, I am having a vector of around 300.000 elements and I Want to slide fast a window from the first element until the last-Windowsize what I have so far is the following for statement:  for (i in 1:(length(data[,1]) - windowSize)) {         out[i] <- mean(data[i:(i + windowSize - 1), ])         elements[i]<-length(i:(i + windowSize - 1))       } but this of course takes ages to

Hi ! I have a vector: vec= TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE TRUE TRUE FALSE and I'm looking for a method which let me get only the first values equal TRUE from this vector. It means that I want to get a vector: vec_out = TRUE TRUE TRUE TRUE or posictions values = TRUE: vec_out = 1,2,3,4 -- View this message in context:

Dear all, I am having a struct that contains on the first column file names and on the second column a number which is a "rating" of the file on first column A small subset looks like that small      [,1]                                                                                                                                                                 [1,]

Dear R users, I was wondering if someone could suggest a few lines of code for my problem. I want to count the number and the length of strings of NA in a vector. For example: vec <- c(1, 2, 1, NA, NA, 1, 2, NA, NA, NA, 3, 4, NA, NA) has 2 strings of NA's of length 2 and 1 string of NA' of length 3. I can easily count the number of NA's per vector, but I am having a hard time

Greetings R members. I have a few vectors that denote the 'steps' of different step functions v1=c(3,4,5,1,2,3,4,5) v2=c(5,6,2,4,7,3,2,5) v3=c(1,2,4,7,3,1,3,5) Here v1,v2,v3 are considered as the steps for the f1,f2,f3 step functions. For example f1 looks like that (step size is always same and fixed) f1= 3 (x>=-3,x<-2) f1= 4 (x>=-2,x<-1) f1= 5 (x>=-1,x<0) f1= 1

Hello again, I have a question on who sum() handle the NA values. > sum(c(NA, 1), na.rm = TRUE) [1] 1 I understand this. However could not agree with following: > sum(c(NA, NA), na.rm = TRUE) [1] 0 Where this '0' is coming from? Should not it be NA itself? Thanks and regards,

Hello again, Let say I have a matrix: Mat <- matrix(1:12, 4, 3) And a vector: Vec <- 5:8 Now I want to do following: Each element of row-i in 'Mat' will be divided by i-th element of Vec Is there any direct way to doing that? Thanks for your help

Hi all, I have to recode some values in a dataset. for example changing all zeros to "." or 999 would be also ok. does anybody know how to do this? thanks in advance. lars -- View this message in context: http://www.nabble.com/-R--Replacing-values-tf2841687.html#a7934402 Sent from the R help mailing list archive at Nabble.com.

Dear all, this is not strictly R question. I have two vectors of different length (this is in the order of 10%). I am trying to see if still one can compare these two for similarity. IF the vectors were of the same length I would just take the difference of the two and plot a pdf of it. One way I am thinking is prorbably to find the longer length and short it in some way to get to the length of

Good evening I often have as output from simulations a list of various values, vectors and matrices. Supposing that I then run said simulation several times, I often want to extract a particular result from each simulation for plotting and, ideally, put it in a matrix. A simple example v1 <- 1:5 v2 <- 6:10 other1 <- "stuff" other2 <- "stuff" set1 <-

Hi all, I would like to combine elements of a vector: vec <- c("astring", "b", "cstring", "d", "e") > vec [1] "astring" "b" "cstring" "d" "e" such that for every element that contains "string" at the end, it is combined with the next element, so that I get this:

Hi all, I would like to ask your help regarding connecting external modules to telosb. I have found that tiny os offers many possibilities for that as ADC, GPIOs, SPI, UART, I2C I have never learned anything regarding those. Can someone please let me know if there is any simple guide on these "interfaces" to show with a primitive example how to start with? I would like to thank you

Dear all, I am using expand.grid for calculating all the possible values between four pairs. I would like to ask you if it is possible to filter the result out, so to keep all unique pairs. In my algorithm the input c(1,2) produces the same results as the c(2,1) so for example in the following code below > expand.grid(c(1,2,3),c(1,2,3))   Var1 Var2 1    1    1 2    2    1 3    3    1 4   

I want a function that takes an input vector, the number of columns and returns a matrix as follows. x<- 1:5 foo(x, nc=3) 1 5 4 2 1 5 3 2 1 4 3 2 5 4 3 Thanks again for any help. Bill

Hello List, Is there a faster way to set values in one data.frame equal to NA conditional on the corresponding value in another data.frame? Currently I am using: > b[is.na(a)] <- NA where 'a' and 'b' are data.frames of equal size/dimensions, and 'a' contains NAs but 'b' does not. This is extremely slow as is, as my data.frames are about 6000 columns by

Dear all, (Mac OS X 10.4.11, R 2.6.0) I have a quantitative dataset with a lot of Na?s in it. So many, that it is not possible to delete all rows with NA?s and also not possible, to delete all variables with NA?s. Is there a function for a principal component analysis, that can deal with so many NA?s. Thanks in advance Birgit Birgit Lemcke Institut f?r Systematische Botanik

Hi, I am a beginner in R and have only read a few chapters in the R book, I was not able to find a solution for this simple problem. I have an empty data frame: a=data.frame(name="test") which I would like to extend in a for-loop (with data extracted from a database). Ideally I would like to extend the data frame like this: a["new_1"] = 1:10 a["new_1"] = 1:12

Hello R-Helpers, I am not sure if it is a very simple question but I would like to use two (...) in a function, for example, this is a script where I would like to input the variable names (in one of the (...)) and the variances associated to those variables which are not calculated in the script because there is a specific software to calculate it (the other (...)) data <- function

Hi all, I would like to have a function like this: split.vec.by.NA <- function(x) That takes a vector like this: x <- c(2,1,2,NA,1,1,2,NA,4,5,2,3) And returns a list of length of 3, each element of the list is the relevant segmented vector, like this: $`1` [1] 2 1 2 $`2` [1] 1 1 2 $`3` [1] 4 5 2 3 I found how to do it with a loop, but wondered if there is some smarter (vectorized) way