I have 507 tables with (pattern = \"human\"). Inside each table there are a number of columns that I want to compare via Student\'s t-test.Before I learned \'functions\', I was initializing 16 columns
I\'ve got a data frame containing a vector of x values, a vector of y values, and a vector of IDs: x <- rep(0:3, 3)
I regularly extract tables from Wikipedia. Excel\'s web import does not work properly for wikipedia, as it treats the whole page as a table. In google spreadsheet, I can enter this:
This question already has answers here: 开发者_开发问答Filter data.frame rows by a logical condition
A <- c(1,6) B <- c(2,7) C <- c(3,8) D <- 开发者_Python百科c(4,9) E <- c(5,0) df <- data.frame(A,B,C,D,E)
Here is my question, the first data frame is output inside a function which would be applied to bigger dataframe2, to subset it.
I have simple question (at least not for me ..). I have been ended with list with multiple dataframes of different length. I want to count length of each dataframe..
I am kind of tired of working with lists..and my limited R capabilities ... I could not solve this from long time...
I have a large list with 2000 component dataframes. The following is just an example: set.seed(1234) mydf1 <- data.frame(v = c(1:5), x = rnorm(5, 0.06, 0.01))
I am trying to remove NAs 开发者_运维百科from my data frame by interpolation with na.approx() but can\'t remove all of the NAs.