R-cran-tibble-1.4.2.txz


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Description

R-cran-tibble - Simple Data Frames

Property Value
Distribution FreeBSD 10
Repository FreeBSD Ports Latest amd64
Package name R-cran-tibble
Package version 1.4.2
Package architecture amd64
Package type txz
Installed size 381.86 KB
Download size 222.36 KB
Official Mirror pkg.freebsd.org
tibble provides a 'tbl_df' class that offers better checking and
printing capabilities than traditional data frames.
WWW: https://cran.r-project.org/web/packages/tibble/
Categories: devel
Maintainer: tota@FreeBSD.org

Alternatives

Package Version Architecture Repository
R-cran-tibble-1.4.2.txz 1.4.2 i386 FreeBSD Ports Latest
R-cran-tibble-1.4.2.txz 1.4.2 amd64 FreeBSD Ports Quarterly
R-cran-tibble-1.4.2.txz 1.4.2 i386 FreeBSD Ports Quarterly
R-cran-tibble - - -

Requires

Name Value
R = 3.5.1_1
R-cran-cli = 1.0.0
R-cran-crayon = 1.3.4_1
R-cran-pillar = 1.3.0
R-cran-rlang = 0.2.1
gcc7 = 7.3.0_5
libR.so.3.5 -

Download

Type URL
Binary Package R-cran-tibble-1.4.2.txz
Source Package devel/R-cran-tibble

Install Howto

Install R-cran-tibble txz package:

# pkg install R-cran-tibble

See Also

Package Description
R-cran-tidyr-0.8.1.txz Easily tidy data with spread and gather functions
R-cran-tidyselect-0.2.5.txz Select from a Set of Strings
R-cran-timeDate-3043.102.txz Rmetrics - Chronological and Calendar Objects
R-cran-timeSeries-3042.102_1.txz Rmetrics - Financial Time Series Objects
R-cran-tinytex-0.9.txz Helper functions to maintain LaTeX distribution
R-cran-truncnorm-1.0.8_2.txz Truncated normal distribution
R-cran-tseries-0.10.45.txz Time Series Analysis and Computational Finance
R-cran-twitteR-1.1.9_1.txz R based Twitter client
R-cran-udunits2-0.13_1.txz Udunits-2 Bindings for R
R-cran-units-0.6.1.txz Measurement Units for R Vectors
R-cran-urca-1.3.0_2.txz Unit root and cointegration tests for time series data
R-cran-uroot-2.0.9.txz Unit Root Tests for Seasonal Time Series
R-cran-utf8-1.1.4.txz Unicode Text Processing
R-cran-vars-1.5.3.txz VAR Modelling
R-cran-vcd-1.4.4.txz Visualization techniques, data sets for categorical data
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