Why to use the replyr R package

Win-Vector Blog 2017-08-31

Summary:

Recently I noticed that the R package sparklyr had the following odd behavior: suppressPackageStartupMessages(library("dplyr")) library("sparklyr") packageVersion("dplyr") #> [1] '0.7.2.9000' packageVersion("sparklyr") #> [1] '0.6.2' packageVersion("dbplyr") #> [1] '1.1.0.9000' sc <- spark_connect(master = 'local') #> * Using Spark: 2.1.0 d <- dplyr::copy_to(sc, data.frame(x = 1:2)) dim(d) #> [1] NA ncol(d) #> [1] NA nrow(d) #> [1] NA … Continue reading Why to use the replyr R package

Link:

http://www.win-vector.com/blog/2017/08/why-to-use-the-replyr-r-package/

From feeds:

Statistics and Visualization » Win-Vector Blog

Tags:

Authors:

John Mount

Date tagged:

08/31/2017, 13:52

Date published:

08/31/2017, 10:48