similar to: Can't remember which package I used. Anyone can help please?

Dear R users Say I wanted to read a vector into R as multi-dimensional array by row, e.g. a<-c(1:20) > b<-array(a,dim=c(2,5,2)) > b , , 1 [,1] [,2] [,3] [,4] [,5] [1,] 1 3 5 7 9 [2,] 2 4 6 8 10 , , 2 [,1] [,2] [,3] [,4] [,5] [1,] 11 13 15 17 19 [2,] 12 14 16 18 20 But actually I wanted... [,1] [,2] [,3] [,4] [,5]

Dear R user I have data created using code below b<-matrix(2:21,nrow=4) b[,1:3]=NA b[4,2]=5 b[3,1]=6 Now the data is > b [,1] [,2] [,3] [,4] [,5] [1,] NA NA NA 14 18 [2,] NA NA NA 15 19 [3,] 6 NA NA 16 20 [4,] NA 5 NA 17 21 I want to keep data in column 4 greater than 15 and the value in column 1 & 2 either greater than 4

Dear R users I am struggling from a data importing issue: I have some hundreds of csv files needed to be read into R for futher analysis. All those csv files are named in one of the three formats: (1) strings: e.g. London_Oxford street (2) Integer: e.g. 1234_5678 (3) combined: e.g. London_1234 I intend to use read.csv("xxxx_xxx.csv") but I only dealt with sigle documents before and

Dear R-user, I have read a dataset from .csv file into R. This dataset includes one column containing some data in 'date and time' format, e.g. 'dd/mm/yyyy hh:mm'. These data were automatically read and saved as 'factor' in R. When I was trying to produce some plots (such as time series) with the above 'date and time' on x-axis, it caused some disodering problem,

Dear R-user, I'm trying to compare two sets of results and wanted to find out which element in the two data frame/matrix are different. I wrote the following function and it works ok, and gives me a long list of "good" as outcomes. CHECK<- function (x = "file1", y = "file2") { for (i in 1:nrow(x)) { for (j in 1:ncol(x)) { if (x[i, j]

Dear R-help, I am trying to express myself as best as I can here. If you also use Latex to edit math reports or other languages with similar editing method, you'll see what I'm talking about. My sincere appologies if my question is not clear enough to some extend, as also I'm not able to provide my code here because I don`t know which one I can use... When editing the title in R

Dear R experts, I am trying to import some data from some Excle files into R. My Excle file contains about 50 sheets. One solution I can think about is to convert my Excle file into csv file first and then load data into R using 'read.csv'. But it seems to me that 'read.csv' only supports reading one sheet (or 'one file') each time, so that seems I have to create 50 csv

Dear R users I am trying to exporting plots from R to an external folder, or to the working directory, but the resolution of plots (pdf file) largely reduced. Any way I can get same quality as my original plots?? e.g. I tested the plotting part using one example and obtained pretty good (/readable) quality for each plot in the (4*4) multiple graph. But when I did the loop and tried to export

Dear R users I wondered if any of you ever tried to calculate distance matrix with very large data set, and if anyone out there can confirm this error message I got actually mean that my data is too large for this task. negative length vectors are not allowed My data size and code used dim(mydata_nor)[1] 365000 144> d <- dist(mydata_nor, method = "euclidean") Here my

Dear R users I read two csv data files into R and called them Tem1 and Tem5. For the first column, data in Tem1 has 13 digits where in Tem5 there are 14 digits for each observation. Originally there are 'numerical' as can be seen in my code below. But how can I display/convert them using other form rather than scientific notations which seems a standard/default? I want them to be in

Dear R user I want to create a table (as below) to summarize the attached data (Test.csv, which can be read into R by using 'read.csv(Test.csv, header=F)' ), to indicate the day that there are any data available, e.g.value=1 if there are any data available for that day, otherwise value=0. 28/04 29/04 30/04 01/05 02/05 532703 0 1 1

Dear R users I have the matrix of the centres of some clusters, e.g. 20 clusters each with 100 dimentions, so this matrix contains 20 rows * 100 columns numeric values. I have collected new data (each with 100 numeric values) and would like to keep the above 20 centres fixed/'unmoved' whilst just see how my new data fit in this grouping system, e.g. if the data is close to cluster 1

Dear R-help, I am trying to rename the variables in a dataframe, called 'T1A' here. Seems renaming was successful, but when I call one of the variable I got error message and I wanted to know why. The data frame contains 365 rows and 49 columns. I would like to name the first column `DATE` and the others T0.5, T1, T1.5,...,T24 (as this is a set of data collected every half hour for a

Dear R-help, My dataset (which is a data frame, called 'Calender' here) includes 365 rows representing 365 days for a year. One column ('Season')contains factor data representing seasons, e.g. spring, summer, autumn and winter. Another column (called 'Day') contains data representing wether the day is a working day (I use 'Wd' for short here)or weekend (I use

I am attempting to produce crosstabulations between two variables for subgroups defined by a third factor variable. I'm using by() and CrossTable() in package gmodels. I get the printing of the tables first and then a printing of each level of the INDICES. For example: library(gmodels) by(warpbreaks, warpbreaks$tension, function(x){CrossTable(x$wool, x$breaks > 30,

Dear R-users, I am looking for a R function that would be the equivalent of the SAS proc freq ( http://support.sas.com/documentation/cdl/en/procstat/63104/HTML/default/viewer.htm#/documentation/cdl/en/procstat/63104/HTML/default/procstat_freq_sect006.htm). The table, ftable, xtabs functions are close but do not quite offer the same capabilities (e.g. they just return counts and no %ages as far as

Good evening R-users! I have the following problem: i want to get a weighted crosstable along with the adjusted standardized residuals test Example: a<-c(1,1,1,1,1,2,2,2,3,3) b<-c(10,10,23,24,33,45,46,70,21,66) c<-c(3,3,2,3,4,1,1,1,3,3) d<-c("a", "b","b","c","a","a","a", "b",

Hi, I've been trying to prepare some crosstables for some survey questions for a client. I have been using the CrossTable function in the gmodels package. However, this command only seems to be able to create CrossTables in text documents. I've been trying to use odfTable in odfweave to create tables that are standalone objects in the document that I can then convert to other

Full_Name: John Hendrickx Version: 1.6.0 OS: Windows 98 Submission from: (NULL) (137.224.174.216) CrossTable in the "gregmisc" package fails when the fisher.exact test produces an error (I suspect this is because the number of cases is too large). This can be fixed using "FTt <- try(fisher.test(t, alternative = "two.sided"))" or by making the test optional.

Is the code below showing a bug in Crosstable()? My expectation was that the values produced by xtabs were rounded instead of truncated: library(gmodels) abc <- c("a", "a", "b", "b", "c", "c") def <- c("d", "e", "f", "f", "d", "e") wgt <- c(0.8, 0.6, 0.4, 0.5, 1.4, 1.3)