similar to: Removing elements from a vector matching a criteria, BUG in which() function

Howdy y'all, I am looking to use the match function to match a data attribute to another data frame but i need it to do so on two criteria to ensure an appropriate match. The following matches incorrectly. I know the example looks pointless but its just an example. Perhaps there is another way of doing this? Thanks #Sample Data Props<-c("p754921","p754921"

I want to get the relative frequency of cases in a data frame that matches a specified criteria, omiting NA values. This seem so simple, but I can't come up with an effective way. nrow(data[data$variable>value & !is.na(data$variable),])/nrow(data) works but is very ineffective and CPU consuming when the data frame is large (more than 13000 rows and 400 columns). /S

Dear All   I have the following data (somewhat simplyfied):   TINF <-1 a <-c(500,750,1000,1250,1500,1750,2000) b <-c(8,12,18,24,36,48,60,72,96)   following function:   infcprodessa <-function (D, tin, tau, ts)   (D * (1 - exp(-0.048 * tin))/(tin * (0.048*79) * (1 - exp(-0.048 * tau)))) * exp(-0.048 * (ts - tin)) z <-sapply(1:1, function(n) infcprodessa(1000,TINF,12,12-TINF))   is

Hi, I want to know whether there is any function in R to find STRESS after using cmdscale and estimating the coordinates, I have written these functions to find stress (for p =1,2,3,4,5) stress<-rep(0,5) for(p in 1:5) { datahat<-cmdscale(d,p) deltahat<-as.matrix(dist(datahat)) a<-0 b<-0 for(i in 1:n) { for(j in 1:n) { a<-d[i,j]^2+a b<-(d[i,j]-deltahat[i,j])^2+b } }

Hi everyone! Thank you for the help you have been given to me, and here I'm with another problem with my dataframes: I have two dataframes (with much more observations), like these: Dataframe1 Firm Year cash 500400200 2007 100 500400200 2006 200 500400200 2005 400 500400300 2007 300 500400300 2006 240 500400300 2005 120 500400400

Hi, Suppose I have the following data name     score Abel        88 Baker      54 Charlie    77 stored a  table called myData. I want to write a function that will create a table which is a subset of myData containing those have a score > 75. I know I can do this with the following command: subset(myData, score > 75) But I would like to do this via a function, something like:

Hello everyone, I am trying to tweak some of the sysctl tunables for the ix (ixgbe) driver in FreeBSD 9.2 since I am experiencing less than ideal performance and it seems like I can't find any: # sysctl -a | grep -i ixgbe device ixgbe I am running 9.2-RC4. Any input appreciated. Thanks, -- Rumen Telbizov Unix Systems Administrator <http://telbizov.com>

Dear all, I have a matrix with data and I want to substract from every value the previous element. Let's assume that my vector(matrix) is c<-(1,2,3,4,5) I want to get remove_previous c<-(0,1,2,3,4). How I can do that efficiently in R? I would like to thank you in advance for your help B.R Alex [[alternative HTML version deleted]]

I spent some time on this simple question, also searched the forum, eventually hacked my way to an ugly solution for my particular problem but I would like to improve my coding: I have data of the form: df <- expand.grid(group=c('copper', 'zinc', 'aluminum', 'nickel'), condition1=c(1:4)) I would like to add a new data column "condition2", with values

Hi, I'm splitting this discussion off of my RFC for release process changes. We currently have no official release qualification criteria. In other words, we don't have any blocking tests that need to pass in order to make a new release. We do time-based releases, which is not always compatible with having quality-based criteria for tagging a final release. So, I think another way to

As we begin designing the proposed validation process, we should think about what the criteria for a successful validation should be. In the initial proposal I suggested the "make check" on llvm should pass as should the tests in llvm-test. According to Tanya, not all of llvm-test passes. Do we have a sense of how far away from a full passing llvm-test we are? I also know that a

Hello everybody, I'm a C/C++ consultant working for Ericsson. I changed the OpenSSH-Portable code to add a new criteria into the Match sshd_config option read by the sshd server. The new criteria is "Subsystem"; so a conditional block based on subsystem client request can now be added to the sshd_config configuration server file to override settings in its global section.

Hi, I want to randomly pick 2 fish born the same day but I need those individuals to be from different families. My table includes 1787 fish distributed in 948 families. An example of a subset of fish born in one specific day would look like: >fish fam born spawn 25 46 43 25 46 56 26 46 50 43 46 43 131 46 43 133 46 64 136 46 43 136 46 42 136 46 50 136 46 85 137 46 64 142 46 85 144 46 56

Hello, Is there a function in R by which one can run AR model with Bayesian Information Criteria (BIC)? To my knowledge, functions ar and ar.ols could select the order only by AIC. Thanks, Miao [[alternative HTML version deleted]]

Hi, Is there any package for logistic model selection using BIC and Mallow's Cp statistic? If not, then kindly suggest me some ways to deal with these problems. Thanks. -- View this message in context: http://www.nabble.com/Stepwise-logistic-model-selection-using-Cp-and-BIC-criteria-tf4464430.html#a12729613 Sent from the R help mailing list archive at Nabble.com.

Dear List, I am struggling with the following problem. Suppose I have the following data.frame: coord<-expand.grid(x=1:10,y=1:10) and I want to extract the row numbers of those matching the criteria defined by the following data.frame: choice<-data.frame(x=c(2,1,2),y=c(1,2,2)) the result should return in this case: 2,11,12 All I managed to do is the following: which(data

Hi, I have a matrix (pwdiff in the example below) with ~480000 rows and 780 columns. For each row, I want to get the percentage of columns that have an absolute value above a certain threshold "t". I then want to allocate that percentage to matrix 'perc' in the corresponding row. Below is my attempt at doing this, but it does not work: I get 'replacement has length

Hello, I am stuck with selecting the right rows from a data frame. I think the problem is rather how to select them then how to implement the R code. Consider the following data frame: df <- data.frame(ID = c(1,2,3,4,5,6,7,8,9,10), value = c(34,12,23,25,34,42,48,29,30,27)) What I want to achieve is to select 7 rows (values) so that the mean value of those rows are closest to the value of 35

Hello, It appears there is a limit in the number of criteria that can be put into the Aggregate sum function. (It looks like it is 32). My code is; HSfirst=aggregate(count,

Hi all R users, I am trying to extract elements from an array (x as shown below) where the difference between the consecutive elements does not equal 1. The desired output is: j = 6,17,27,38,58,69,79,90 However, the code below only returns: j = 1,69,79,90 I am assuming that "cbind" function is not extracting all the elements meeting the condition. In