similar to: newbie: new_data_frame <- selected set of rows

Hello, this is probably trivial but I failed to find this particular snippet of code. What I got: my_dataframe (contains say a 40k rows and 4 columns) distances (vector with euclidean distances between a query vector and each of the rows of my_dataframe) What I do: after scaling data my_dataframe I calculate distances. order them then extract top five hits my_dataframe <-

Thank you to Ozgur, who gave me the hints for an easy solution. There are the commands that work for my case: mean(my_dataframe$Freq[my_dataframe$month == 5 & my_dataframe$day %in% c(1:7)]) mean(my_dataframe$Freq[my_dataframe$month == 5 & my_dataframe$day %in% c(8:14)]) ... Stefano Sofia PhD This is the original message: Dear list users, I have a data frame as below specified. From

I am trying to find the distance between a vector and each row of a dataframe. I am using the function "distancevector" in the package "hopach" as follows: mydata<-as.data.frame(matrix(c(1,1,1,1,0,1,1,1,1,0),nrow=2)) V1 V2 V3 V4 V5 1 1 1 0 1 1 2 1 1 1 1 0 vec <- c(1,1,1,1,1) d2<-distancevector(mydata,vec,d="euclid") The Euclidean distance

On Aug 21, 2008, at 1:37 AM, Wojciech Matyjewicz wrote: > I am investigating what changes are necessary to add support for > first-class structs and arrays and will prepare a version to check > in as > a LLVM project if there still is interest. We want to model this as an analysis and make following changes. - Rename LoopMemDepAnalysis as DataDependenceAnalysis. Various

> Wojtek, > > Please see David's message below. Have you or can you check in your > code, perhaps as a project for now? That will allow us to start > looking at it and perhaps collaborating on it. Sure. For now, I am posting it as an attachment, because it does not build against the current SVN version. It is really basic (for example, it cannot produce distance vectors,

Wojtek, Please see David's message below. Have you or can you check in your code, perhaps as a project for now? That will allow us to start looking at it and perhaps collaborating on it. --Vikram Associate Professor, Computer Science University of Illinois at Urbana-Champaign http://llvm.org/~vadve On Aug 20, 2008, at 3:05 PM, David Greene wrote: > On Wednesday 20 August 2008

Hi: I have a large dataset mydata, of 1000 rows and 1000 columns. The rows have gene names and columns have condition names (cond1, cond2, cond3, etc). mydata<- read.table(file="c:/file1.mtx", header=TRUE, sep="") I applied PCA as follows: data_after_pca<- prcomp(mydata, retx=TRUE, center=TRUE, scale.=TRUE); Now i get 1000 PCs and i choose first three PCs and make a

> We want to model this as an analysis and make following changes. > > - Rename LoopMemDepAnalysis as DataDependenceAnalysis. Various > transformation passes will use this interface to access data > dependence info. This is an external interface. Put this in include/ > llvm/Analysis. > - Make DirectionVector (and later on DistanceVector) independent > interface and