similar to: Logistic regression

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.

Hello, I am trying to plot means and standard errors conditioned by a factor, using qplot. I am successful at getting the bar graph I want with a error bar, however I have tried many things and cannot get the bars to change colors. Currently showing as red and blue, but need it to be black and white for publication. Any suggestions please? Using a data set June, which is str:

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.

Whats happening? everthings changing round here...plus alot less posts/users.. -- View this message in context: http://n4.nabble.com/Whats-happening-to-the-forum-tp913858p913858.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:

I need to find out the difference between the way R calculates weighted regression and standard regression. I want to plot a 95% confidence interval around an estimte i got from least squares regression. I cant find he documentation for this ive looked in ?stats ?lm ?predict.lm ?weights ?residuals.lm Can anyone shed light? thanks Chris. -- View this message in context:

hello, i have been using ccf() to look at the correlation between lightning and electrogamnetic data. for the most part it has worked exactly as expected. however, i have come across something that puzzles me a bit: > x <- c(1, 0, 1, 0, 1, 0) > y <- c(0, 0, 0, 0, 0, 0) > ccf(x, x, plot = FALSE) Autocorrelations of series 'X', by lag -4 -3 -2 -1 0

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

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:

Hi, I run the example for princomp for R211 I got the following error for biplot > ## The variances of the variables in the > ## USArrests data vary by orders of magnitude, so scaling is appropriate > (pc.cr <http://pc.cr> <- princomp(USArrests)) # inappropriate Erreur dans cov.wt(z) : 'x' must contain finite values only > princomp(USArrests, cor = TRUE) # =^=

What ways are there to plot categorical vs numerical data in R. I have two columns: one with categorical data in 5 categories a,b,c,d,e, and a numerical column with integers between 1 and 100. I have used a boxplot with a,b,c,d,e on the x-axis and an increasing numerical scale on the y-axis. This look fine but im looking for other ways to present the data. What other ways can i do this??? --

Hello all I would like to ask your help use mapply. I have a function called findCell that takes two arguments(x,sr) where x is a vector of size two (e.g x<-c(2,3) and sr is a matrix. I would like to call many times the findCell function (thus I need mapply) for different x inputs but always for the same sr. as x is a vector of size two (two cells) I want to pass inside inside the following

Dear R users I have a big matrix like 6021 1188 790 290 1174 1015 1990 6613 6288 100714 6021 1 0.658 0.688 0.474 0.262 0.163 0.137 0.32 0.252 0.206 1188 0.658 1 0.917 0.245 0.331 0.122 0.148 0.194 0.168 0.171 790 0.688 0.917 1 0.243 0.31 0.122 0.15 0.19 0.171 0.174 290 0.474

I want to go through a column in data called date_abandoned....data["date_abandoned"]....and remove all the rows that have numbers greater than 1,010,000. The dates are in the format 20091114 so i'm just going to treat them as numbers for clean up purposes. I know that i use subset but not sure how to proceed from there. -- View this message in context:

I want to do a non homogeneous poisson process model in R. Any advice, or know of places where i can get some, ive googled it but nothing came up relating to R. -- View this message in context: http://old.nabble.com/non-homogeneous-poisson-process-tp26378037p26378037.html Sent from the R help mailing list archive at Nabble.com.

> exampledata <- rnorm(10000) > summary(exampledata) Min. 1st Qu. Median Mean 3rd Qu. Max. -4.030000 -0.666200 -0.023390 -0.009384 0.664700 4.092000 > desc <- function(mydata) { + require(e1071) + quantls <- quantile(x=mydata, probs=seq(from=0, to=1, by=0.25)) + themean <- mean(mydata) + thesd <- sd(mydata) + kurt <-

Hello there, I have two groups (men and women) and I know per group how many of them smoke or don't smoke (women 40 of 200; men 100 of 300). I would like to know how I can compare in R if men and women differ significantly in their smoking. However, because there are more men in the sample than women I cannot just compare the number of smokers and non-smokers in both groups, right?! (I would