similar to: re move row if the column "date_abandoned" has a date in it

say i have a column of data like this... 2 3 4 2 1 6 6 4 7 and i want it in three columns like this 226 314 467 ...so i can make a contour plot. How do i do this? -- View this message in context: http://old.nabble.com/one-long-column-of-data--%3E-three-small-columns-tp26163165p26163165.html Sent from the R help mailing list archive at Nabble.com.

hello folks, Im trying to clean out a large file with data i dont need. The column im manipulating in the file is called "legal_status" There are three kinds of rows i want to remove. Those that have "Private", "Private (Op", or "Unknown" in the legal_status column. I wrote this code but i get errors and it says im missing a TRUE/ False thingy...im

i just found the following list, i wondered if anybody could add to this as i have to characterize a large data set and am new to R...the list below was so helpful....can you add to this??? Just to forestall confusion amongst those who would like to use one of the functions called "describe"... Hmisc package - describe numeric name count of observations count of missing

if ive got an incomplete data set thats got thousands of rows and 80 columns with random missing fields...like this say... 3 b 3 4 1 1 x 2 ? how do i turn it into.... 3 b 3 4 missing 1 1 x 2 ...i.e., i want to insert the word "missing" into the fields that are empty? -- View this message in context:

can you do Logistic regression in R, if so how do you do it and how do you test the fit of a model? -- View this message in context: http://n4.nabble.com/Logistic-regression-tp1059870p1059870.html Sent from the R help mailing list archive at Nabble.com.

Ive got a big column of dates (also some fields dont have a date so they have NA instead), that i have converted into date format as so... dates<-as.character(data[,"date_commissioned"]); # converted dates to characters dates[1:10] [1] "19910101" "19860101" "19910101" "19860101" "19910101" "19910101" "19910101"

I have 20 columns of data, and in column 5 I have a value of 17600 but I dont know which row this value is in (i have over 300,000 rows). I'm trying to do 2 things: 1) I want to find out which row in column 5 has this number in it. 2) Then I want to print out that row with all the column headers so i can look at the other parameters in the row that are associated with this value. How do i

Is this book worth its dollar? If so, why?, if not, why not? Cheers. -- View this message in context: http://n4.nabble.com/Ggplot2-Elegant-Graphics-for-Data-Analysis-Use-R-2009-Paperback-tp931702p931702.html Sent from the R help mailing list archive at Nabble.com.

Please help me persuade IT to install R on my computer! All suggestions welcome. Our IT department run scared when you mention software that they have no working experience of. I need to know the pros and cons of having R on corporate desktops. Please no funny stuff, this is quite a serious issue for us. Pros and cons would be good. Thanks. -- View this message in context:

I had need of a bit of computer archeology (oddly enough, for a couple of archaeologists, but that's another story). I used Henry Bartlett' HABit Wordstar Converter (version 3) (http://www.hotkey.net.au/~hambar/habit/wsconvrm.htm) to convert some Wordstar for Mess-DOS files to text and HTML. It worked just fine under wine (http://www.winehq.org). wine-20041201-1fc3winehq on Fedora Core 3

Hi, I am writing tool to simplify automated refactorings. One of prerequisites is have clean codebase, so a refactorer can be simple and created formatting inconsistencies can be eliminated by formatter. My plan to keep codebase clean is first run a cleanup systemwide, then keep it by hook/ periodicaly rerunning cleanup. I put it for now here. https://github.com/neleai/stylepp I ran a scripts

Hi folks, I created a subset of a dataframe (i.e., selected only men): subdata <- subset(data,data$gender==1) After a residual diagnostic of a regression analysis, I detected three outliers: linmod <- lm(y ~ x, data=subdata) plot(linmod) Say, the cases 11,22, and 33 were outliers. Here comes the problem: When I want to exclude these three cases in a further regression analysis, - for

Hello all, I'm trying to get a subset of a data frame by taking all rows where the 2nd column is >= Min and <= Max. I can do that by a 2 step process similar to the following: subData <- dataFrame[dataFrame[,2] >= Min,] subData2 <- subData[subData[,2] <= Max,] Then I try to graph the results where col 2 is the X var and col 3 is the Y var. Therefore I do the following: X

Dear list, this must be an easy one: I have a data.frame of two columns, "ID" with four different levels (A to D) and numerical "size", and each of the 4 different IDs is repeated a different number of times. I would like to get the mean size for each ID as another data.frame. I have tried the following: >ID= as.character(unique(data[,1])) # I use unique() because

Dear all, First, let's create some data to play around: set.seed(1) (df <- data.frame(Group=rep(c("Group1","Group2","Group3"), each=10), Value=c(rexp(10, 1), rexp(10, 4), rexp(10, 10)))[sample(1:30,30),]) ## Now we need the empirical distribution function: edf <- function(x) ecdf(x)(x) # empirical distribution function evaluated at x ##

On Jul 8, 2013, at 11:39 AM, Ondřej Bílka <neleai at seznam.cz> wrote: > Hi, > > I am writing tool to simplify automated refactorings. One of > prerequisites is have clean codebase, so a refactorer can be simple and > created formatting inconsistencies can be eliminated by formatter. Cool. > My plan to keep codebase clean is first run a cleanup systemwide, then >

Dear R-users, I have written the following code to generate some trellis plots. It works perfectly fine except that it is quite slow when it is apply to my typical datasets (over several thousands of lines). I believe the problem comes from the loops I am using to subset my data.frame. I read in the archives that the tapply function is often more efficient than a loop in R. Unfortunately ,

Hi - I''m trying to group records based on some attribute they or an association of their''s have. The simplest example I could think of to drive my point is this: Assume the following model associations (pardon my butchering of rails) - Faculty has_many :courses Course belongs_to :faculty I want to paginate courses based on the name of the faculty they belong to. The paging

Hi, I am trying to create a googleVis motion chart with monthly data. When formatting the date column as a Date class variable, the plot as presented in the browser becomes considerably slower and very prone to crashing the browser. To illustrate this issue I have modified the WorldBank demo. ### objects from demo("WorldBank", package = "googleVis") M <-

http://www.nabble.com/file/p18018170/subdata.csv subdata.csv I've attached 100 rows of a data frame I am working with. I have one factor, id, with 27 levels. There are two columns of reference data, x and y (UTM coordinates), one column "date" in POSIXct format, and one column "diff" in times format (chron package). What I am trying to do is as follows: For each day