I\'ve got what I think is a relatively benign reshape going using the reshape package. I have \"molten\" data that looks like this:
From this: > test <- data.frame(x = c(\"a\",\"a\",\"a\"), y = c(\"b\",\"b\",\"c\"), z = c(1,2,1))
I have a table that looks like this: And I need it to look like this, w开发者_JAVA技巧here net=gross-tare:
Hi I am trying to use the reshape function for the first time. I have a data.frame with lots of information and daily rainfall. I am trying to put it in a long format so that I will have one row per d
I have a large table (x) to covert to matrix (y). I used two different commands. x <- reshape(y, direction=\"wide\", v.names=\"column1\",
I have a data frame that looks like: > ta ranks ompALLA1 15124772.9 210242769.9 320481914.2 4256开发者_如何学JAVA 8932.3
I am dealing with a simple table of the form datevariablevalue 1970-01-01V10.434 1970-01-01V212.12 1970-01-01V3921.1
This is a basic problem in data analysis which Stata deals with in one step. Create a wide data frame with time invariant data (x0) and time varying data for years 2000 and 2005 (x1,x2):
I kind of have the same problem. I have data in this kind of order: ;=column D1 ;hurs 1;0.12开发者_运维百科
Suppose we have 2 questions in a survey, one is about how likely an individual is to recommend a company (let\'s say there\'s 2 companies for simplicity).