similar to: Aggregate data frame across columns

Hi, I have the file below called happyguys. It is a subset of data. How do I apply the weight variable (WTPP) to this file? Can i just multiply each column (except the first column because it is a record id) by WTPP? If the answer is yes, how do I multiply one variable name by another? Thanks, Nat PROV REGION GRADE Y_Q10A WTPP 83 48 4 7 2 342233324020 115

Hi All: I came across the following problem while working with a dataset, and wondered if there could be a solution I sought here. My dataset consists of information on 402 individuals with the followng five variables (age,sex, status = a binary variable with levels "case" or "control", mma, dma). During data check, I found that in the raw data, the data entry

Good Morning ??? I have a small question regarding the function subset. I am copying data from one table but I just want to collect data from a user. When do I take the view, presents the results I want. The problem arises when can I make the tab. for RES_ID, introduces me to zero results do not envision noVIEW val_user='16' x.sub <-

Hi, I am trying to plot several rows out of a list of thousands. I have 40 columns, and about 16,000 rows with the following Df structure. ID X01 X02 X03..X40 AI456 45 64 23... AI943 14 3 45 .. AI278 78 12 68.. BW768 -2 -7 34.. ... My question is, I have a list of 100 IDs generated elsewhere (Df-"Ofinterest"), I would like to plot the 100 IDs from that data frame over the 40 columns

Dear R help, I have some readings in three dimensions (x, y, z) and an amplitude for each. I'd like to visualize the data using ggplot, using tile plots, as I have some additional point data I would like to eventually overlay on the tile plots. I would like to subset the data by sections, slices if you will, in the z dimension, and plot the data for that slice. I can do all of this, but am

Probably a stupid question, but I don't seem to be able to find the answer I'm looking for from any of the R literature. Basically I have a matrix with several thousand rows and 20 columns(weather stations) of wind direction data. I am wanting to extract a matrix which contains data for all columns conditional on column 20 having a value of _either_ less than 45 or greater than 315. (ie I

Hi, I've written code to extact a pumf file in R, subset it, and weight it like you would do in SPSS. My code is below & it works great. My question is: how do i then calculate the frequencies of smokers (1) versus non-smokers (2) after having weighted my file? or even the process that SPSS is going through to aggregate the data? Thanks, Nat Here is my code:

Martin Morgan commented in email to me that a change to any slot of an object that has other, large slot(s) does substantial computation, presumably from copying the whole object. Is there anything to be done? There are in fact two possible changes, one automatic but only partial, the other requiring some action on the programmer's part. Herewith the first; I'll discuss the second