search for: flanked

Dear all and thanks in advance for helping me with a rather stupid question: I imported a data set ("freqg") into R consisting of 14 variables. Now a want to compute a variable and add it in an additional column to my data frame. The value of this new variable ("condition") depends on the values of two other variables ("mat" and "flank") already

Hola buenos días, ahora mismo estaba haciendo una función para quitar outlier por condición. Pero lo cierto es que aunque la función consigue quitarlos creo que me ha quedad bastante farragoso. Os dejo el codigo y si me dais algún consejo para mejorarlo mejor que mejor. Mcuhas gracias #############################################################• # Ojo este script puede instalarte librerias que

Dear list, I am importing data consisting of numbers into dataframes. Some of the numbers are flanked by parentheses or square brackets. Thus, they are not recognized as numeric and the corresponding column is of class "factor" which makes it hard/impossible use in plotting functions. Is there a way to remove brackets from numbers in a column/row/dataframe? Kind regards, Stefan -- Vie...

Full_Name: Mike Lawrence Version: 2.9.0 OS: OS 10.5.7 Submission from: (NULL) (208.98.203.100) When using save() I notice that sometimes saving smaller objects yield larger file sizes. x=data.frame( expand.grid( id=factor(1:1000) ,trial=1:24 ,cue=factor(1:3) ,flank=factor(1:4) ) ) save(x,file='temp1.Rdata') #about 20KB y=x[x$id!='1',] save(y,file='temp2.Rdata')

Hi, as Conrad suggested, I've made a complete list of all points in the specification, which I beleive are errors, or where the explanation is unclear, contains unneccessary steps and so on. I hope someone has time to look through the points and if and when accepting or rejecting them be so very kind and inform me about it. I will also once again try to work through the residue

Hello, I have two tab-delimited files which I would like to combine. In the first one I have gene IDs (Unique) on column 1 and than various experimental results from microarray analysis (see attached files list1 ) the second arrays have the same genes IDs (more and in a different order, some are double) (see attached files list2 ) What I would like to do is to search in the second list for gene

Full_Name: Mike Pacey Version: 2.0, 1.9.x OS: Solaris 8 Submission from: (NULL) (194.80.32.8) Symptoms: -------------- It seems the latest version of the Sun Compiler Suite (Forte 9) has compatability issues with R's configure script. Starting with a fairly vanilla configure (I'm using 1.9.1 here, but I've replicated the problem on 1.9.0 and 2.0.0): % export CC=cc % export F77=f95

Hello R Masters and the Rest of Us: The first of these works fine, the 2nd is accepted but too literal (the "%->%" is shown in the plot label and in the wrong position). The 3rd throws and error due to "unexpected SPECIAL". Would someone recommend a way to format this? I want the two phrases connected by a right arrow. TIA, these things always elude me. Bryan

I'm making a request for comments in an effort to bring a minor but nagging bug to some kind of multilaterally-beneficial conclusion, and deliberately held off until after the 1.0 release in case this turns out to be a bigger deal than originally anticipated. http://bugs.winehq.org/show_bug.cgi?id=13517 The first proposed suggestion is that a more consistent method for handling the

hello every one, How to function more than one loop in R? I have the following problem to be solved with the a method of three loops, can you help me please? The data is attached with this message. The data is composed of two parts, cleaved (denoted by ?cleaved?) and non cleaved (denoted by ?noncleaved?). ? to access to the ith peptide, you can use X$Peptide[i] ? to access to the ith label,

Jeff, Perhaps I was sloppy with my notation: I want groups >=0 <10 >=10 <20 >=20<30 ...... >=90 <100 In any event, my question remains, why did the four different versions of cut give me the same results? I hope someone can explain to me the function of include.lowest and right in the call to cut. As demonstrated in my example below, the parameters do not seem to alter