search for: var100

Hello, This is a beginner question. I am trying to loop through numbered variables with "apply" to calculate weighted means. My data is "data", the variables are "var1" to "var100", the weight is "weight". The command works using sapply(paste('data$var', 1:100, sep=''), function(x) weighted.mean(eval(parse(text=x)), data$weight)) but is there a way to avoid eval(parse())? Thank you, Daniel

Hi all, I've been looking for a simple answer to the following problem. Let's say that I can loop through, say, 100 values that need to be assigned to, say, the variables var1:var100. Is there an elegant way to do this? I have seen one or two similar questions...but they tend to be in more complicated contexts. Simple question, hopefully with a simple answer. Thanks very much! -- View this message in context: http://r.789695.n4.nabble.com/looping-variable-names-tp3255711p32...

...ession with each of theses variables and the variable “length” using e.g. the while function. I would then extract e.g. the t-value and add it to a vector (“result”) that contains all results. Something like that: “variable” should contain the names of the 100 dependent variables (Var1, Var2, … Var100) while(i<101){ result<-c(result,coef(summary(lm(variable[i] ~ length, data = data2)))[2,4]); i<-i+1 } This example does not work since the lm function does not recognize the dependent variable’s name. Does somebody know how to store the names of the dependent variables in e.g. a vector...

...iso2 13 100 9999 diso3 2 100 9999 diso4 3 100 I would like subtract column "Num" between the two moments considering only the changes, therefore I use the conditional if: var100<-sqldf("select esf100.SAMPLE, esf100.SPECIES, esf100.Num, esf100.esf, iif esf100.Num - esf50.Num >=0, esf100.Num-esf50.Num, esf100.Num as PIPAS from esf100 left join esf50 on esf100.SAMPLE = esf50.SAMPLE and esf100.SPECIES = es...