search for: subdf

...function I'm trying to create to: 1. subset a data.frame based on function arguments (colname & parmname) 2. rename the PARMVALUE column in the data.frame based on function argument (xvar) 3. generate charts plotvar <- function(parentdf,colname, parmname,xvar,yvar ){ subdf <- parentdf[substr(colname,1,nchar(parmname)) == parmname,] names(subdf) <- sub('PARMVALUE',xvar, names(subdf)) xvarcol <- paste("subdf","$",xvar,sep="") yvarcol <- paste("subdf","$",yvar,sep="") his...

....constant)) warning(gettextf("some constant variables (%s) are really varying", : missing value where TRUE/FALSE needed For example, > df <- data.frame(i = factor(rep(1:5, each = 2)), t = factor(rep(1:2, 5)), x = rep(rbinom(5, 1, 0.5), each = 2), y = rpois(10, 10)) > subdf <- subset(df, i %in% 1:3) defines a dataframe, and a subframe with some unused factor levels (i = 4, 5). Then > reshape(df, v.names = "y", timevar = "t", idvar = "i", direction = "wide") i x y.1 y.2 1 1 0 13 6 3 2 0 12 5 5 3 0 10 9 7 4 1...

Hi, I have a data frame df with column names a,b and c. Now I want to get a subset of df that satified the condition a == 1 and b == 2, how do I specify this. For one condition like a == 1 I can use subdf = df[,df$a==1] to get the right answer, but subdf = df[,df$a==1 && df$b ==2] does not return the right answer. Some quick tips please.

Hello folks, I have a big project to work on and the dataset is classified so I am just going to use my own example so everyone can understand what I am targeting. Let's take Target as an example: We consider three brands of tape: Target brand, 3M and Avery. The original data frame has 4 columns: Year of Record, Product_Name(which contains three brands of tape), Sales, and Region. I want to

I have a large dataset similar to this: ID time result A 1 5 A 2 2 A 3 1 A 4 1 A 5 1 A 6 2 A 7 3 A 8 4 B 1 3 B 2 2 B 3 4 B 4 6 B 5 8 I need to extract a number of features for each individual in it (identified by "ID"). These are: * The lowest result (the nadir) * The time of the nadir - but if the nadir level is present at >1 time point, I need the minimum and maximum time of nadir

Hello R users, This is more of a convenience question that I hope others might find useful if there is a better answer. I work with large datasets that requires multiple parsing stages for different analysis. For example, compare group 3 vs. group 4. A more complicated comparison would be time B in group 3 of group L with B in group 4 of group L. I normally subset each group with the

Hi Again, First of all thank you for all the responses to my previous query. Your answers were very helpful and I did the job ;-). Now I hope you can answer as quick the following (sorry I am invading you with trivial questions): Let?s use again the following data.frame example: DF <- data.frame(x=rnorm(5), y=rnorm(5)) I want to obtain a new data.frame (or matrix) that contains only n