similar to: How to get a list work in RData file

I have a dataset that is basically structureless. Its dimension varies from row to row and sep(s) are a mixture of tab and semi colon (;) and example is HEADER1 HEADER2 HEADER3 HEADER3 A1 B1 C1 X11;X12;X13 A2 B2 C2 X21;X22;X23;X24;X25 A3 B3 C3 A4 B4 C4 X41;X42;X43 A5 B5 C5 X51 etc., say. Note that a blank

Dear all, I want to summary and count my data something like > te.Ce [,1] [,2] [1,] -1 0.05 [2,] 1 0.05 [3,] 1 0.00 [4,] 0 0.05 [5,] -1 0.00 [6,] 0 0.10 [7,] 1 0.10 [8,] -1 0.00 [9,] -1 0.10 [10,] 0 0.05 [11,] 0 0.10 [12,] -1 0.10 [13,] 1 0.00 [14,] -1 0.05 [15,] 1 0.00 How could I count (summary) all my data which I need the result like

Dear useR again, How can I read a dataset if lines in dataset did not have same elements (have different lengths), For example: 1 2, 4, 16, 1, 1, 3, 1, 1, 15, 5, 1, 1, 14, 1, 1 2 2, 13, 5, 1, 1, 3, 1, 1, 15, 5, 1, 1, 14, 1, 1 3 4, 5, 11, 1, 1, 6, 1, 1, 5, 14, 1, 1, 15, 1, 1 4 2, 5, 9, 1, 1, 14, 1, 1, 8, 16, 1, 1, 13, 1, 1 5 3, 7, 14, 1,

Dear all, I have a script about iteration classification, like this below data(iris) N <- 5 ir.tr.iter <- vector('list',N) ir.tr <- vector('list',N) for (j in 1:N) { ir.tr[[j]] <- rpart(Species ~., data=iris) ir.tr.iter[j] <- ir.tr[[j]]$frame result <- list(ir.tr=ir.tr, ir.tr.iter=ir.tr.iter) } as.data.frame(as.matrix(ir.tr.iter))

Dear All, I have a model to predict time series data for example: data(LakeHuron) Lake.fit <- arima(LakeHuron,order=c(1,0,1)) then the function predict() can be used for predicting future data with the model: LakeH.pred <- predict(Lake.fit,n.ahead=5) I can see the result LakeH.pred$pred and LakeH.pred$se but I did not see residual in predict function. If I have a model: [\ Z_t =

Dear UseR I have a dataset, for instance x1(A, B, C), x2(M,F), x3(X1,X2,X3,X4) and x4(W,F,P). I want to make a small dataset with the random tuple. I know package e1071 can handle a random discrete, > library(e1071) > x1 <- rdiscrete(6, c(2,2,2), c("A","B","C")) > x2 <- rdiscrete(6, c(3,3), c("M","F")) > x3 <-

Dear all, I have a data file with 3 variables (x1, x2, x3) where variable x1 have data that consists of several numbers separated by commas. id name x1 x2 x3 aa101 1,4,5 2 1 aa102 1,2,5 1 2 aa103 1,2,5 1 1 aa104 1,2,3 1 2 aa105 1,5 2 2 aa106 1,2,5 2 2 aa107 1,2,5 2 1 aa108 1,4,5 2 1 aa109 1,2 1 2 aa110 3,5 1 2 I want to count the number of data for each

Dear useR I want to know why package gregmisc did not work very well. I did not find this package in my library directory. > local({a <- CRAN.packages() + install.packages(select.list(a[,1],,TRUE), .libPaths()[1], available=a, dependencies=TRUE)}) trying URL `http://cran.r-project.org/bin/windows/contrib/2.0/PACKAGES' Content type `text/plain; charset=iso-8859-1' length 21630 bytes

Dear all, 1. How can I compute the intersecting area between 2 polygons ? 2. I have polygons with coordinates in decimal degrees (i.e. 13 deg 30 min = 13.5 decimal degrees). I want to compute their area and get the results in square meters or square kiometers. Can anyone give me a conversion coefficient or a pointer where I can find this information (sorry for this off topic question) ? Thanks

Hi All, I have a netcdf gridded file with LCC projection. I can easily use image.plot to visualize it. However, as the axises are in X,Y, not Lat and Lon, I could not add state or country maps onto it (or lat lon information). I do have a grid2d file that describes the lat and lon for each (X,Y) grid, but the lat and lon are not regularly spaced, so I could not use image.plot. Does anyone know

Are there any packages to handle multi-class classification with boosting. I know adaboost function include in package "boost" but that is only for two-class. Thanks for your help. Xiyan Lon

Hello R Community, I have imported a dataset which contain X Y coordinates and would like to recreate a shape file after some data analysis. What i have done is to import some taxlot data and join them based on some criteria. I want to check to see how well the joining went by reviewing the results in GIS. A couple things. I cant seem to import a shape file correctly using the maptools

Dear R users, subject: How to filter XY pairs of inacurate gps position along track, taking into account the time index to not mix track from different days in one average track or subject as: How to filter XY pairs of inacurate gps position: (latitude, longtitude) to get estimated correct position before calculating track i.e. How to estimate (time series? )? How to filter XY pairs of

Dear list!   I would like to write a function to transform matrix, which is input argument of a written function. It is easy with new matrix (see below), but my idea is to transform input argument (matrix) of function without any additional matrixes. Here is an example: fun1 <- function(xy) { xy <- cbind(xy[,1], xy[,2], xy[,1] + xy[,2]) return(xy) }   df1 <- matrix(c(1,2,3,1,2,3), ncol =

Hi All, After a lengthy battle just to get the package installed, I am not able to actually use Rgraphviz to generate any plots. I tried just using the sample code in the documentation (http://www2.warwick.ac.uk/fac/sci/moac/people/students/peter_cock/r/rgraphviz/) and I get the following: *> > library(Rgraphviz) > test.matrix<-matrix(rep(c(0,1,0,0), 9), ncol=6, nrow=6) >

Hi list! An operation that I often need is splicing two vectors: > splice(1:3, 4:6) [1] 1 4 2 5 3 6 For numeric vectors I use this hack: splice <- function(x, y) { xy <- cbind(x, y) xy <- t(xy) dim(xy) <- length(x) * 2 return(xy) } So far, so good (?). But I also need splicing for factors and I tried this: splice <- function(x, y) { xy <-

Dear R fellows, Is the following a feature or a bug of names() ?? It does not seem to be reported as a bug in the R Bug Tracking System. (RedHat 6.0, R-0.64.2 compiled from source, not RPM). # a trivial test x <- 1:5 y <- 6:10 names(x) <- c("a", "b", "c", "d", "e") names(y) <- c("a", "b", "c",

Dear all, I think I have found a buglet in plot.ts plot.ts(x=1,type="n") # correct: does not show the plot plot.ts(x=1,y=1,type="n") # not correct: does show the plot I did not investigate the problem in depth but it could be related to the switch xy.labels, in fact plot.ts(x=1,y=1,type="n",xy.labels=TRUE) # does show the plot

hi, I have a vector full of strings like; xy_100_ab xy_101_ab xy_102_ab xy_103_ab I want to seperate each string in three pieces and the separator should be the "_" at the end I want a data.frame like: column1 column2 column3 xy 100 ab xy 101 ab xy 102 ab xy 103 ab I tried strsplit but I couldn't figure out how to convert the list I get into a data.frame. I just

Hi the list, One of my package has an (other) error detected by memtest that I do not manage to understand. Here is the message that I get from Memtest --- 8< ---------------- > try(choice(cld1)) Error in switch(EXPR = choix, Up = { : EXPR must be a length 1 vector --- 8< ---------------- The choice function does call the choiceChangeParam function, which is: --- 8<