How can I select the first 4 rows of a data.frame: Weight Response 1Control590.0 2 Treatment900.8 3 Treatment470.1
I have a data frame where some of the columns contain NA values. How can I remove columns wher开发者_高级运维e all rows contain NA values?Try this:
I am sure this is easy - but I can\'t figure it out right now. Basically: I have a long vector of variables:
I have a large data.frame displaying some weird properties when plotted.I\'d like to ask a question about it on Stackoverflow, to do that I\'d like to write the data.frame out in a form that I can pas
I\'m trying to collapse a data frame by removing all but one row from each group of rows with identical values in a particular column. In other words, the first row from each group.
> D <- read.csv(\"sample1.csv\", header = FALSE, sep = \",\") > D V1V2V3V4 1 20100316 109825 352120 239065
I\'m using the \"by\" function in R to chop up a data frame and apply a function to different parts, like this:
Okay, I\'m fairly new to R and I\'ve tried to search the documentation for what I need to do but here is the problem.
I\'m using by() to evaluate a function by factors in my dataframe, but I need to use the results in a table form.
I have a dataframe which contains (among other things) a numeric column with a concentration, and a factor column with a status flag.This status flag contains NA\'s.
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