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Thank you! This seems to work, just do not understand why you used a threshold? I will study your solution, thanks again! -- View this message in context: http://r.789695.n4.nabble.com/How-to-use-tapply-with-more-than...

I used these commands previously: data <- read.csv("test.csv") > tbl= > data.frame(tapply(data$contb_receipt_amt,list(data$cand_nm,data$contbr_st),sum)) > tbl AL AR CA NY Doug 250 250 250 NA Jennifer 20 340 300...

To take this example I reduced the number of records absurdly. In the original database there are 48 000 candidates and dozens of states. There is no way to analyze data visually. I would not put 400 mb of tables...

interTable <-data.frame (Tapply ($ contb_receipt_amt date, list ($ cand_nm date, $ contbr_st date), sum)) I got create a table with the sum total contribution (contb_receipt_amt) of each presidential candidate (cand_nm) in each state (contbr_st...

I meant where obama has higher value compared to other candidates. Looking at the column NY, Obama has the highest. So to state that he wins. Looking for AR column, Michelle wins. I JUST want to list where obama wins...

I believe that previously could not be understood. To facilitate'll give you an example. Assuming my table is presented below with the amount received from each candidate for president in a particular country state. AL AR CA NY Doug...

The criteria is to list where Obama has a higher number of contributions. The table shows the number of contribution that each presidential candidate received in a state of the country. The table shown is an example, the query should...

I'm studying alone the R language for data preparation. I found a course at MIT for data preparation that uses python but I'm using R to learning. The first exercise is the preparation of data from a database...

AL AR CA NY Doug 250 250 250 NA Jennifer 20 340 300 100 Michele 250 500 250 60 Obama 15 45 520 600 My English is not very good, I'll try again. I want to list ALL states...