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Hello all, I have a very large file (280k lines) containing three comma separated variables. The first variable is a 0 or 1 depicting a pass or fail. The other two are X and Y coordinates. Is there a good way I can represent this data in a chart/plot form other than using a 3d histogram? If I need to use the histogram, should I base my chart off the example contained in the RGL package? Thanks a

Hello, I realize that using: x[x > 3 & x < 5] I can fetch all elements between 3 and 5. However I read in from a CSV file, and I would like to fetch all columns from within a range ( 842-2411). In teh past, I have done this to fetch just select few columns: data <- read.csv(filein, header=TRUE, nrows=320, skip=nskip) data_filter <- data[c(2,12,17)]

Hello all, I have a CSV file, that is 2411 columns wide. There are certain instances in teh file, where null values are located. That is: two commas together, without anything in the middle. In a certain section, the only possible values are NULL, 0,1,and 2. I need to be able to detect these NULL's and be able to have them counted. For example, in a frequency table. How can I accomplish this?

I am attempting to perform some simple data manipulation on a large data set. I have a snippet of the whole data set, and my small snippet is 2GB in CSV. Is there a way I can read my csv, select a few columns, and write it to an output file in real time? This is what I do right now to a small test file: data <- read.csv('data.csv', header = FALSE) data_filter <- data[c(1,3,4)]

Hello, Is there a simple way to take an input, and convert the decimal integers to binary? In this case, I have a CSV file, and I need to convert the first column of every line to binary. Thanks. -- Jason Thibodeau [[alternative HTML version deleted]]