Here is an example dataframe: set.seed(0) x1 <- c(1, 1, 1, 1, 1, 2, 2, 2, 2) x2 <- c(1, 1, 0, 0, 0, 1, 1, 1, 1)
When I look at the contents of [[.data.frame on my PC, this is what I get: > get(\"[[.data.frame\")
I have the following data frame data<-data.frame(ID=c(\"a\", \"b\", \"c\", \"d\"), zeros=c(3,2,5,4), ones=c(1,1,2,1))
Say I generate some data like so: dat <- data.frame(x = rnorm(100), y = rnorm(100), z = rnorm(100))
Let\'s say that I want to generate a large data frame from scratch. Using the data.frame function is how I would generally create data frames.
While data frame columns must have the same number rows, is there any way to create a data frame of unequal lengths. I\'m not interested in saving them as separate elements of a list because I often h
Every time I think I understand about working with vectors, what appears to be a simple problem turns my head inside out. Lot\'s of reading and trying different examples hasn\'t helped on this occasio
If I have a list like: list <- list( \"1\" = data.frame(time=1:3, temp = sample(11:13)), \"3\" = data.frame(time=1:3, temp = sample(11:13)))
I am new to R and trying to do some correlation analysis on multiple sets of data.I am able to do the analysis, but I am trying to figure out how I can output开发者_运维知识库 the results of my data.I
I have a data frame e.g.: subday 11 12 13 14 21 22 23 24 31 32 33 34 and I would like to remove specific rows that can be identified by the combination of sub and day.
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