R-dplyr-0.8.3.tgz


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Description

R-dplyr - Grammar of data manipulation

Property Value
Distribution NetBSD 8.1
Repository NetBSD amd64 Official
Package filename R-dplyr-0.8.3.tgz
Package name R-dplyr
Package version 0.8.3
Package release -
Package architecture amd64
Package type tgz
Homepage https://CRAN.R-project.org/package=dplyr
License mit
Maintainer -
Download size 1.68 MB
Installed size 4.14 MB
Category
A fast, consistent tool for working with data frame like objects, both
in memory and out of memory.

Alternatives

Package Version Architecture Repository
R-dplyr All All All

Requires

Name Value
R >= 2.2.1nb2
R-BH >= 1.69.0.1
R-R6 >= 2.4.0
R-Rcpp >= 1.0.2
R-assertthat >= 0.2.0
R-glue >= 1.3.0
R-magrittr >= 1.5
R-pkgconfig >= 2.0.2
R-rlang >= 0.4.0
R-tibble >= 2.0.0
R-tidyselect >= 0.2.5

Download

Type URL
Mirror ftp.netbsd.org
Binary Package R-dplyr-0.8.3.tgz
Source Package R-dplyr

Install Howto

Install R-dplyr tgz package:

# pkg_add R-dplyr

Files

Path
/usr/pkg/lib/R/library/dplyr/libs/dplyr.so

See Also

Package Description
R-e1071-1.7.2.tgz Misc Functions of the Department of Statistics (e1071), TU Wien
R-effects-4.1.1.tgz Effect displays for linear, generalized linear, and other models
R-ellipsis-0.2.0.1.tgz Tools for working with
R-emdbook-1.3.11.tgz Support functions and data for "Ecological Models and Data"
R-energy-1.7.6.tgz E-statistics: multivariate inference via the energy of data
R-estimability-1.3.tgz Tools for assessing estimability of linear predictions
R-evaluate-0.14.tgz Parsing and evaluation tools
R-fAsianOptions-3042.82.tgz Functions for pricing and valuating Asian options
R-fBasics-3042.89.tgz Markets and basic statistics
R-fOptions-3042.86.tgz Markets and basic statistics
R-fansi-0.4.0.tgz ANSI control sequence aware string functions
R-forcats-0.4.0.tgz Tools for working with categorical variables (factors)
R-forecast-8.7.tgz Forecasting functions for time series and linear models
R-formatR-1.7.tgz Format R code automatically
R-fracdiff-1.4.2.tgz Fractionally differenced ARIMA aka ARFIMA(p,d,q) models
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