plyr is an R package with tools to solve a variety of problems using the split-apply-combine strategy
I've been attempting to understand what and how plyr works through trying different variables and functions and seeing what results. …
r plyrI have a large data frame in which I am multiplying two columns together to get another column. At first …
r dataframe plyrI use R 2.13.1 and have unsuccessfully tried to load the package "plyr 1.6" in R. I have manually installed it into …
r plyrI am unable to install ggplot2 in R 3.0.2 on Ubuntu. When I run install.packages('ggplot2',dependencies = TRUE) I …
r ggplot2 plyrI have a dataframe consisting of an ID, that is the same for each element in a group, two datetimes …
r aggregate plyrI am (probably) NOT referring to the "all other variables" meaning like var1~. here. I was pointed to plyr once …
r coding-style naming-conventions plyrI have a relational dataset, where I'm looking for dyadic information. I have 4 columns. Sender, Receiver, Attribute, Edge I'm looking …
r plyr data.tableOk, second R question in quick succession. My data: Timestamp St_01 St_02 ... 1 2008-02-08 00:00:00 26.020 25.840 ... 2 2008-02-08 00:10:00 25.985 25.790 ... 3 2008-02-08 00:20:00 25.930 25.765 ... 4 2008-02-08 00:30:00 25.925 25.730 ... 5 2008…
r multiple-columns plyr idioms split-apply-combineI have a data frame, say payroll, like: payroll <- read.table(text=" AgencyName Rate PayBasis Status NumRate HousingAuthority $26,843.00 …
r plyr summaryExample data: set.seed(1) df <- data.frame(years=sort(rep(2005:2010, 12)), months=1:12, value=c(rnorm(60),NA,NA,NA,NA,…
r plyr data.table statistics