similar to: how to apply the function cut( ) to many columns in a data.frame?

Dear all, I'm having a few problems trying to reshape a data frame. I tried with reshape{stats} and melt{reshape} but I was missing something. Any help is very welcome. Please find details below: ################################# # data in its original shape: indiv <- rep(c("A","B"),c(10,10)) level.1 <- rpois(20, lambda=3) covar.1 <- rlnorm(20, 3, 1) level.2

Hi, I'm plotting a multiple histogram using the function multhist {package plotrix}, something like: library(plotrix) mh <- list(rnorm(200, mean=200, sd=50), rnorm(200, mean=250, sd=50)) multhist(mh) In this graph y-axis represents the frequency of observations.... but I would like it to be scaled into relative frequencies, does anybody know how to do this with multhist or similar

Dear all, I'm trying to estimate the parameters of a lognormal distribution fitted from some data. The tricky thing is that my data represent the time at which I recorded certain events. However, in many cases I don't really know when the event happened. I' only know the time at which I recorded it as already happened. Therefore I want to fit the lognormal from the cumulative

Sorry I have a very simple question: I used somers2 function from Design package: > z<- somers2(x,y, weights=w) results are: >z C Dxy n Missing 0.88 0.76 500 0.00 Now I want to call only the value of C to be used in further analyses, but I fail to do it. I have tried: > z$C NULL > z[,C] Error in z[,C]: incorrect number of dimensions and some other silly

Dear useRs, I am fitting a mixed model using the function lmer from the package lme4, but I have some problems when I try to test the effect of my factors of interest. First let me explain the structure of the model: I'm measuring animal movements. Explicitly, I am interested in displacement (straight-line distance from an initial point). Displacements are measured longitudinally, with one

Dear list-members, I have made a logistic regression analysis of the spatial distribution of an ecological phenomenon (wildlife-caused crop damage). I divided the region into 5x5 km grids, and in each grid I have performed a number of questionnaires to asses the presence of crop damage in particular houses. As a result, my dependent variable is not a simple presence/ absence data but a

Dear R Admins, I received an unsolicited e-mail from BlueInference as an R user. Does it mean that R that our e-mails (and names) is sharing it's user database with third parties without our consent? Or perhaps the BlueInference guys are using an e-mail address miner to get our contact details? [SNIP] Dear Gorden Jemwa, As a fellow R user, I am sure you agree with me that R is a

Dear mailing group, This is my first time here. Glad to have this resource! I am currently trying to load an Excel file into R (limma package loaded) using the source(*name of directory*) command, but it cannot open the file. I renamed the file as .R and .RData, to no avail. The Excel data contains one gene name per row and about 100 data points per gene (columns). I am only used to

Is there a way to apply paste to?list(form1 = EQ1, form2 = EQ2, form3 = EQ3, form4 = EQ4)?such that I don't have to write form1=EQ1 for all my models?(I might have a list of 20 or more)? I also need the EQs to read the formulas associated with them. For example, below, I was able to automate the name assignment but I could not figure out how to?to set up the list using?paste or other

Hi, Say I have dataframes d1, d2, ... , dn, and I want to apply a function to all of them. For example, say I want to change the name of the second variable in each dataframe to "x2". The following doesn't work: a = list(d1,d2,d3,d4) lapply(a,function(x) names(x)[2] = "x2") What would work? Thanks for any help.

Hi, This might seem like a simple question but at the moment I am stuck for ideas. The columns of my matrix in which some data is stored are of this form: X1 Y1 X2 Y2 X3 Y3 ... Xn Yn with n~100. I would like to look at just the X values (i.e. odd column numbers). Is there an easy way to loop round extracting only these columns? Any help would be appreciated.

Dear all, I have a data frame in which the columns need to be ordered. The first column X is at the right position, but the remaining columns X1-Xn should be ordered like this: X1, X2, X3 etc instead of like below. > colnames(pos1) [1] "X" "X1" "X10" "X11" "X12" "X13" "X14" "X15" "X16"

Hi to all, how could I to rotate automatically a data sheet which was imported by read.xls? x1 x2 x3 .... xn y1 1 4 7 ... xn/y1 y2 2 5 8 .... xn/y2 y3 3 6 9 ....xn/y2 yn ... ... ... Xn/Yn to y1 y2 y3 .... yn x1 1 2 3 ..... Yn/x1 x2 4 5 6 .... Yn/x2 x3 7 8 9 .... Yn/x2 xn ... ... ... ..... Yn/xn Kind regards Knut

hi all, presumably i have a small request, but i do indeed struggle. i want to use the cut function as follows. 1) imagine two vectors X1 and X2 2) code values of X1 due to it's quantile values (as this is ordinary use of the cut function) 3) code values of X2 due to it's quantile values, by taking the coded values of X1 as factors (AND without having to loop)... most likely a

Dear All, I have a data frame with n columns: X1, X2, ., Xn. Now I want to create a new column: if X1 = X2 = . = Xn, the value is 1; Otherwise, the value is 0. How to do that in a quick way instead of doing (n choose 2) comparisons? Thank you, Frank [[alternative HTML version deleted]]

Dear users, My apologies for the simple question. I'd like to create a function where the number of arguments is as big as the size of my data set. Supose I have n observations in my data, how can I write a function like fun <- function (x1,x2,....,xn) {x1*x2*.......*xn} Thanks in advance for your help! Axel. [[alternative HTML version deleted]]

Hello everybody, could anybody give me a hint, who I can use rbind on a list of data.frames, please? I have a list with a large number of data.frames of the same structure, like: LIST <- list(X1=data.frame(a=1,b=2), X2=data.frame(a=3,b=4), X3=data.frame(a=5,b=6), ...., XN=data.frame(a=i,b=k)) I would like to bind all data.frames very fast to a single data.frame, something like that: DF <-

All, I am new to using R and know some basics. I wish to use kriging in R to do the following: given data Y =f(X1,X2,X3,.....,Xn) --1000+ irregular measured data set. I would like to be able to get a single value y given sinle input set (x1,x2,x3,...xn) A google search on this takes me lierally to the same example on involving analysis with soil sampling and I cannot figure out how to

hi , i am trying to predict the value of dependent variable using the independent variable using R . like y is dependent and x1,x2,x3 ...,xn are independent variables so how can predict the value of y using x1,x2,x3 ...,xn . y x1 x2 x3 x4 x5 x6 6 0 1 2 3 1 2 5 1 3 4 5 6 8 8 4 6 9 0 0 1 3 5 7 2 1 0 3 4 5 6 7 8 2

Hello! I noticed that in some cases clang generates sequence of AND+TST instructions: For example: AND x3, x2, x1 TST x2, x1 I think these instructions should be merged to one: ANDS x3, x2, x1 ( because TST <Xn>, <Xm> is alias for ANDS XZR, <Xn>, <Xm> -