similar to: summary with variance / sd

Hi, How can I make the distance between an axis-label and the axis bigger? I haven't found anything in par()...

Hi, If I have following vector; x <- c(1,1,1,2,2,3,4,4,5) and I want to change values in the range of 1 to 3 into the value 1, how can I do that? I tried x[x == c(1:3)] <- c(1) but than I get; x [1] 1 1 1 2 1 1 4 4 5 R doesn't change the 2 into a 1. But why?

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Hi, I tried to calculate the formula for the birthday problem (the probability that at least two people out of a group of n people share the same birthday) But the factorial-function allows me only to calculate factorials up to 170. So is there a way to push that limit? to solve this formula: (factorial(365) / factorial((365-23))) / (365^23) (n=23)

Hi, Is there a way to simulate a population with R and pull out m samples, each with n values for calculating m means? I need that kind of data to plot a graphic, demonstrating the central limit theorem and I don't know how to begin. So, perhaps someone can give me some tips and hints how to start and which functions to use. thanks for any help, joerg

Hi, Is there a function which counts the frequencies of the occurence of a number within an interval? for example I have this vector: x <- c(1, 3, 1.2, 5, 5.9) and I want a vector that gives me the frequencies within an interval of 2, beginning at 0 (so the intervals are 0-2, 2-4, 4-6 and so on) so I get these frequencies: 2, 1, 2 Which functions do I have to use for this purpose?

I would like to reformat this data frame into something that I can produce some descriptive statistics. I have been playing around with the reshape package and maybe this is not the best way to proceed. I would like to use RiverMile and constituent as the grouping variables to get the summary statistics: 198a 198b mean mean sd sd ... ... etc. for all of these. I have tried

Hi, I have a problem with the R syntax. It's perhaps pretty simple, but I don't understand it ... I can extract a column from a data.frame with the following code for example ... b$row1[b$row1 == "male"] so I see all male-entries. But I cannot extract all lines of a data.frame depending on this criterium; only.male <- b[b$row1 == "male"] With that, I

Hi, is there a way to increase the distance beween the plot (or plot- region) and the main-title? I haven't found anything via ?par(). Thanks for any help!

Hi, is there a way to define, that a line drawn via abline() should only go from for example -2 to 1 on the x-axis (with something working similiar to xlim()) ? thanks for any help!

Hi, I have added a second y-axis via axis() to a plot. Then I tried to add an y axis title. But the axis() function seems to have no argument like ylab. and if I add a title with title() the text is centered at the first axis, not the second defined one. Is there a way to add an axis-title that orientates it's position at the last defined axis?

thanks for the great help! But I have one additional question (hope I can work alone then); I want to replace the values of a vector, like this: x <- c(1,2,2,3,3,4,4,4,5,1) x[x==1] <- c(12) x[x==2] <- c(13) x[x==3] <- c(17) x[x==4] <- c(20) x[x==5] <- c(22) is there a way to do that just in one or two code lines? I tried x[x == c(1:5)] <- c(12,13,17,20,22) but that

Hello list: Is there an easy way (preferably through one of the standard R packages) of obtaining summary statistics for grouped data? I could split the data into classes by hist, and then progressively calculate all the "columns" i need to obtain the mean and standard deviation, but i was looking for a single function that could do that with a data vector. Thanks in advance, jose

Hi, I try to write an own function in R. I want a summary table with descriptive statistics. For example, I have this data.frame: d <- data.frame(c(rep("m",5), rep("f",5)), c(1:10)) names(d) <- c("x", "y") d x y 1 m 1 2 m 2 3 m 3 4 m 4 5 m 5 6 f 6 7 f 7 8 f 8 9 f 9 10 f 10 now I want to get the mean and

Dear list, I reduced my data to the following: x <- c(1,4,2,6,8,3,4,2,4,5,1,3) y <- as.factor(c(2,2,1,1,1,2,2,1,1,2,1,2)) z <- as.factor(c(1,2,2,1,1,2,2,3,3,3,3,3)) I can produce the statistical summary just fine. s1 <- tapply(x, y, summary) d1 <- tapply(x, y, sd) s2 <- tapply(x, z, summary) d2 <- tapply(x, z, sd) First thing: I have 100 plus factors to analyse. Theirs

Hi, how can I change a defined factor-variable? Like adding levels, renaming existing levels or merge several levels of a factor to one level? For example; following factor-variable is given: x <- factor(c("xyz1", "abc1", "xyz2", "abc2")) How can I add the level fgh? And how can I merge "xyz1" and "xyz2" to one level? And

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Hi, I have a data frame with several columns. Now I want to transfer the data into a new variable (also a data frame), but I only want a part of the data, defined by a rule ... for example; I have following data frame: row1 row2 row3 x 2 3 x 1 4 y 5 3 y 2 3 I know want a data frame, only with lines containing x in row1. I know how to do that for one row (f <-

Hi. In a data set I have a variable that takes values from 1 to 14. For each subgroup of values of this variable, I would like to obtain some descriptive statistics of other variables present in the data set. I've been trying with a "for" loop but I couldn't get nothing. Could you please suggest me some lines? -- View this message in context:

I''m stymied at how to create a fixture that establishes a has_many :through relationship. I''ve watched the railscast at: http://media.railscasts.com/videos/081_fixtures_in_rails_2.mov ... but that''s for HABTM relationships. I''ve read: http://www.ruby-forum.com/topic/145676 but that ultimately doesn''t answer any question. So with no further ado: