The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
tabulator provides efficient tabulation with big data in R, with Stata-like output. It contains three distinct functions:
tab() shows, for each unique value of a selected
variable, the number of observations, proportion of observations, and
cumulative proportion.quantiles() shows quantile values.tabcount() shows the number of unique categories for a
selected variable.All functions work with data frames, data tables, and tibbles.
# The easiest way to get tabulator is to install from CRAN:
install.packages("tabulator")To get a bug fix or to use a feature from the development version, you can install the development version of tabulator from GitHub.
# install.packages("remotes")
remotes::install_github("skhiggins/tabulator")library(tabulator)
data(iris)
iris %>% tab(Sepal.Length)
#> Sepal.Length N prop cum_prop
#> 1: 5.0 10 0.07 0.07
#> 2: 5.1 9 0.06 0.13
#> 3: 6.3 9 0.06 0.19
#> 4: 5.7 8 0.05 0.24
#> 5: 6.7 8 0.05 0.29
#> 6: 5.8 7 0.05 0.34
#> 7: 5.5 7 0.05 0.39
#> 8: 6.4 7 0.05 0.43
#> 9: 4.9 6 0.04 0.47
#> 10: 5.4 6 0.04 0.51
#> 11: 6.0 6 0.04 0.55
#> 12: 6.1 6 0.04 0.59
#> 13: 5.6 6 0.04 0.63
#> 14: 4.8 5 0.03 0.67
#> 15: 6.5 5 0.03 0.70
#> 16: 4.6 4 0.03 0.73
#> 17: 5.2 4 0.03 0.75
#> 18: 6.9 4 0.03 0.78
#> 19: 6.2 4 0.03 0.81
#> 20: 7.7 4 0.03 0.83
#> 21: 4.4 3 0.02 0.85
#> 22: 5.9 3 0.02 0.87
#> 23: 6.8 3 0.02 0.89
#> 24: 7.2 3 0.02 0.91
#> 25: 4.7 2 0.01 0.93
#> 26: 6.6 2 0.01 0.94
#> 27: 4.3 1 0.01 0.95
#> 28: 4.5 1 0.01 0.95
#> 29: 5.3 1 0.01 0.96
#> 30: 7.0 1 0.01 0.97
#> 31: 7.1 1 0.01 0.97
#> 32: 7.6 1 0.01 0.98
#> 33: 7.3 1 0.01 0.99
#> 34: 7.4 1 0.01 0.99
#> 35: 7.9 1 0.01 1.00
#> Sepal.Length N prop cum_prop
iris %>% tabcount(Sepal.Length)
#> [1] 35
iris %>% quantiles(Petal.Width)
#> p Petal.Width
#> 1: 0.0 0.10
#> 2: 0.1 0.20
#> 3: 0.2 0.20
#> 4: 0.3 0.40
#> 5: 0.4 1.16
#> 6: 0.5 1.30
#> 7: 0.6 1.50
#> 8: 0.7 1.80
#> 9: 0.8 1.90
#> 10: 0.9 2.20
#> 11: 1.0 2.50These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.