Suppose I have a response variable and a data containing three covariates (as a toy example): y = c(1,4,6)
I couldn\'t find a solution for this problem online, as simple as it seems. Here\'s it is: #Construct test dataframe
I have been reading about how read.table is not efficient for large data files. Also how R is not suited for large data sets. So I was wondering where I can find what the practical limits are and any
I like to select the first (2,3,0,4) rows of each group开发者_开发知识库 in a data frame. > f<-data.frame(group=c(1,1,1,2,2,3,4),y=c(1:7))
I have a large data set and I would like to read specific columns or drop all the others. data <- read.dta(\"file.dta\")
I have a vector of correlation scores myCorVector which contains a range of values from 1 to -1. The vector myCorVector has a score for each row of a data frame myDataFrame.
This is a repost from the Statistics portion of the Stack Exchange.I had asked the question there, I was advised to ask this question here.So here it is.
I have a list in R that contains several data frames. I want to iterate over the data frames and calculate the min/max of a value from the data frame. Here\'s the code that I have right now:
I have imported data relating to about 70 human subjects from three data tables and have merged them into one data frame in R. Some of the 100 fields are straight forward such as date.birth, number.su
I have a data.frame wi开发者_StackOverflow社区th one column, like so: >d = data.frame(animal=c(\"horse\",\"dog\",\"cat\"))
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