similar to: frequency table across multiple variables

Hi All, I want to use "hist" to get the relative frequency plot. But the range of ylab is greater than 1,which I think it should be less than 1 since it stands for the probability. Here is my code: x<-c(1,1,1,0,0,1,1,5,1,1,0,1,1,0,1,0,1,1,0,0,1,1,1,1,1,1,1,1,1,4,1,0,2,1,1,1 ,1,1,0,0,1,0,1,1,1,1,1,1,1,1,1)

I have a small annoying problem. When I use the 'table' function on a simple vector it counts the number of occurences. So depending on the values of my input vector the function returns a class of type table with different lengths. Is there an easy way to tell the table function, the values to expect? That is ############# > set.seed(0) > s<-sample(0:5,5,rep=T) > s [1] 5 1

Dear R experts, Suppose I have a data frame of three variables: > foo <- data.frame(row=1:5, col=1:3, val=rnorm(15)) > foo row col val 1 1 1 -1.00631642 2 2 2 0.77715344 3 3 3 0.17358793 4 4 1 -1.67226988 5 5 2 1.08218836 6 1 3 1.32961329 7 2 1 -0.51186267 8 3 2 -1.20990127 9 4 3 -0.57786899 10 5 1 0.67102887 11 1 2

Dear list, Can somebody tell me how to invoke user-defined functions from script files during run-time? Basically I have (almost) one function per script file. I am thinking of something like #include in C++ import in Java/Python use in Perl No, I don't need my functions every time R is started. Neither I am thinking about writing building my functions into packages. I just

Hi all, I have a large data.frame, 1530 observation with 6 columns. I want to merge a 7th column, a transformation of the response variable (hospital admissions), namely trans<-sqrt(copd$admissions+0.25) trans<-data.frame(trans) And now when I do copd2<-merge(copd,trans) (copd being my original data.frame), R either crashes or is taking an extremely long time to do the computation. I

Dear All, I'm trying to read a text data file that contains several records separated by a blank line. Each record starts with a row that contains it's ID and the number of rows for the records (two columns), then the data table itself, e.g. 123 5 89.1791 1.1024 90.5735 1.1024 92.5666 1.1024 95.0725 1.1024 101.2070 1.1024 321 3 60.1601 1.1024 64.8023 1.1024 70.0593

Hi, I was wondering whether there was an easy way to change the attributes of all elements in a data.frame (rather than looping through elements)? Specifically, I would like to set the "dim" attributes to NULL Thanks for any help, Jarrod -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

Is there a way to use the cycle variable for rowname? v=1:6 for (a in 1:3){ for (b in 4:5) { v=rbind(v,a.b=1) } } v This above obviously does not work, but I couldn't find out how to use a and b to construct a rowname like 14, 15, 24, 25. Thanks for the help. Balazs -- View this message in context: http://www.nabble.com/using-for-variable-as-rowname-tp19533203p19533203.html Sent from

Folks, I have got a strange behaviour when testing this: sum(x) != 1 let us set x<-c(70,134,1,5,0) and transform it in a vector of probabilities x<-x/sum(x) One expect sum(x) should be equal to 1, which is apparently the case > sum(x) [1] 1 However, when I try to test it I get: > if(sum(x) !=1) print("lost") else ("OK") [1] "lost" Which means

Dear useRs, With the rise of netbooks and 'lifestyle laptops" I am tempted to get one of these to mainly run R on it. Processor power and hard disk space seem to be ok. What I wonder is the handling and feel with respect to R. Has anyone here installed or is running R on one of these, and if so, what is your experience? Would it be more of a nice looking gadget than a feasable platform

Hi! In a current project, I am fitting loess models to subsets of data in order to use the loess predicitons for normalization (similar to what is done in many microarray analyses). While working on this I ran into a problem when I tried to predict from the loess models and the data contained NAs or NaNs. I tracked down the problem to the fact that predict.loess will not return a value at all

Hello All, Is there any R function out there to turn a multi-way contingency table back to a flat file table of individual rows and attribute columns.? Thanks! marco --------------------------------- [[alternative HTML version deleted]]

Greetings helpRs -- I would like to use plot() to plot two cumulative distribution curves so that a user of the plot can compare the distributions of the two variables. The following code draws two distributions separately, but I cannot find the instruction necessary to add a second cumulative distribution to the first one. Any suggestion would be very welcome. x1 <-

Hi all, I am doing some clustering and the clustered results are presented in a "pairs" plot showing 4 clusters... I made the data points belong to 4 different clusters displaying different colors. Now I want to select the best clustered class, how can I click on the data point, and the program returns the index of that cluster(its class number, or color number)? Also, if I would

Hi, I have a string vector, say, x <- "a", "aab" and anther string vector, say, y <- "a", "aa", "aab", "aabc". Is there any R function to get the indices of y for the elements of x, that is, foo(x, y) will give me the index vector c(1, 3)? I know i can combine apply() and grep("^aab$", y) to do it. But is there any

Hello, I have two dataframes of the following structures: str(a) `data.frame': 1354896 obs. of 14 variables: $ V1 : int 0 1 2 3 4 5 6 7 8 9 ... $ V2 : int 0 0 0 0 0 0 0 0 0 0 ... $ V3 : int 74 12305 103 12337 46 57 12446 90 12097 79 ... $ V4 : num 11.8 1529.2 17.8 1579.4 6.7 ... $ V5 : int 88 11040 104 11557 56 58 11040 74 10991 81 ... $ V6 : num 15.5 1921.3 20.3

Hello everyone, does anybody know how to increase the decimal places that R uses to calculate something. I think that in default R uses 6 decimal places but I need 12. Thank you very much! Best regards, Maja! --

Dear R-helpers I would like to do a fit of the form: y = a (x+c)**b, where a, b and c are unknown. Does anybody know how to do it? Thanks Thomas

All, I think this is pretty basic but I couldn't find the answer in any source. I have just built my own R for Linux (amd 64). It runs well, but R thinks that it only has 80 characters or so of screen width. I log on with Putty to the box and can stretch it as large as I want. Is there a simple way to tell R to use more screen width when displaying? From whatami: OS RELEASE :

Hi, * I am using read.table command as follow kegg<-read.table("c:/IDs.tab",header =TRUE,quote= "'", sep="\t") * Fragment of file is as follow: ID Pathway 04916 Melanogenesis 04920 Adipocytokine signaling pathway 04930 Type II diabetes mellitus 04940 Type I diabetes mellitus 04950 Maturity onset diabetes of the young 05010