intubate (version 1.0.0)

EnvStats: Interfaces for EnvStats package for data science pipelines.

Description

Interfaces to EnvStats functions that can be used in a pipeline implemented by magrittr.

Usage

#ntbt_calibrate(data, ...)   ## Not implement for 0.99.3 as needs an attach()
ntbt_gofTest(data, ...)
ntbt_gofGroupTest(data, ...)
ntbt_kendallSeasonalTrendTest(data, ...)
ntbt_kendallTrendTest(data, ...)
ntbt_stripChart(data, ...)
ntbt_summaryFull(data, ...)
ntbt_summaryStats(data, ...)
ntbt_varGroupTest(data, ...)

Arguments

data

data frame, tibble, list, ...

...

Other arguments passed to the corresponding interfaced function.

Value

Object returned by interfaced function.

Details

Interfaces call their corresponding interfaced function.

Examples

## Not run: 
# library(intubate)
# library(magrittr)
# library(EnvStats)
# 
# 
# ## ntbt_calibrate: Fit a Calibration Line or Curve
# #Cadmium <- EPA.97.cadmium.111.df$Cadmium 
# #Spike <- EPA.97.cadmium.111.df$Spike 
# data(EPA.97.cadmium.111.df)
# ## Original function to interface
# calibrate(Cadmium ~ Spike, data = EPA.97.cadmium.111.df) 
# 
# ## NOTE: --check-as-cran does not like having an attach()
# ##       in the code, which is needed to interface
# ##       calibrate (at least for now). I will get back
# ##       to this after 0.99.3 is submitted. Please do not
# ##       report as bug (instead please find a solution to this!)
# 
# ## The interface puts data as first parameter
# #ntbt_calibrate(EPA.97.cadmium.111.df, Cadmium ~ Spike)
# 
# ## so it can be used easily in a pipeline.
# #EPA.97.cadmium.111.df %>%
# #  ntbt_calibrate(Cadmium ~ Spike) 
# 
# 
# ## ntbt_gofGroupTest: Goodness-of-Fit Test for a Specified Probability
# ##                    Distribution for Groups
# ## Original function to interface
# gofGroupTest(Nickel.ppb ~ Well, data = EPA.09.Ex.10.1.nickel.df)
# 
# ## The interface puts data as first parameter
# ntbt_gofGroupTest(EPA.09.Ex.10.1.nickel.df, Nickel.ppb ~ Well)
# 
# ## so it can be used easily in a pipeline.
# EPA.09.Ex.10.1.nickel.df %>%
#   ntbt_gofGroupTest(Nickel.ppb ~ Well)
# 
# ## ntbt_gofTest: Goodness-of-Fit Test
# ## Original function to interface
# gofTest(Nickel.ppb ~ 1, data = EPA.09.Ex.10.1.nickel.df)
# 
# ## The interface puts data as first parameter
# ntbt_gofTest(EPA.09.Ex.10.1.nickel.df, Nickel.ppb ~ 1)
# 
# ## so it can be used easily in a pipeline.
# EPA.09.Ex.10.1.nickel.df %>%
#   ntbt_gofTest(Nickel.ppb ~ 1)
# 
# 
# ## ntbt_kendallSeasonalTrendTest: Nonparametric Test for Monotonic Trend Within
# ##                                Each Season Based on Kendall's Tau Statistic
# ## Original function to interface
# kendallSeasonalTrendTest(Unadj.Conc ~ Month + Year, data = EPA.09.Ex.14.8.df)
# 
# ## The interface puts data as first parameter
# ntbt_kendallSeasonalTrendTest(EPA.09.Ex.14.8.df, Unadj.Conc ~ Month + Year)
# 
# ## so it can be used easily in a pipeline.
# EPA.09.Ex.14.8.df %>%
#   ntbt_kendallSeasonalTrendTest(Unadj.Conc ~ Month + Year)
# 
# 
# ## ntbt_kendallTrendTest: Kendall's Nonparametric Test for Montonic Trend
# ## Original function to interface
# kendallTrendTest(Sulfate.ppm ~ Sampling.Date, data = EPA.09.Ex.17.6.sulfate.df)
# 
# ## The interface puts data as first parameter
# ntbt_kendallTrendTest(EPA.09.Ex.17.6.sulfate.df, Sulfate.ppm ~ Sampling.Date)
# 
# ## so it can be used easily in a pipeline.
# EPA.09.Ex.17.6.sulfate.df %>%
#   ntbt_kendallTrendTest(Sulfate.ppm ~ Sampling.Date)
# 
# 
# ## ntbt_stripChart: 1-D Scatter Plots with Confidence Intervals
# ## Original function to interface
# stripChart(TcCB ~ Area, data = EPA.94b.tccb.df, col = c("red", "blue"), 
#            p.value = TRUE, ci.and.test = "nonparametric", 
#            ylab = "TcCB (ppb)")
# 
# ## The interface puts data as first parameter
# ntbt_stripChart(EPA.94b.tccb.df, TcCB ~ Area, col = c("red", "blue"), 
#                 p.value = TRUE, ci.and.test = "nonparametric", 
#                 ylab = "TcCBntbt_summaryFull (ppb)")
# 
# ## so it can be used easily in a pipeline.
# EPA.94b.tccb.df %>%
#   ntbt_stripChart(TcCB ~ Area, col = c("red", "blue"), 
#                   p.value = TRUE, ci.and.test = "nonparametric", 
#                   ylab = "TcCB (ppb)")
# 
# 
# ## ntbt_summaryFull: Full Complement of Summary Statistics
# ## Original function to interface
# summaryFull(TcCB ~ Area, data = EPA.94b.tccb.df)
# 
# ## The interface puts data as first parameter
# ntbt_summaryFull(EPA.94b.tccb.df, TcCB ~ Area)
# 
# ## so it can be used easily in a pipeline.
# EPA.94b.tccb.df %>%
#   ntbt_summaryFull(TcCB ~ Area)
# 
# 
# ## ntbt_summaryStats: Summary Statistics
# ## Original function to interface
# summaryStats(log10(TcCB) ~ Area, data = EPA.94b.tccb.df)
# 
# ## The interface puts data as first parameter
# ntbt_summaryStats(EPA.94b.tccb.df, log10(TcCB) ~ Area)
# 
# ## so it can be used easily in a pipeline.
# EPA.94b.tccb.df %>%
#   ntbt_summaryStats(log10(TcCB) ~ Area)
# 
# 
# ## ntbt_varGroupTest: Test for Homogeneity of Variance Among Two or More Groups
# ## Original function to interface
# varGroupTest(Arsenic.ppb ~ Well, data = EPA.09.Ex.11.1.arsenic.df)
# 
# ## The interface puts data as first parameter
# ntbt_varGroupTest(EPA.09.Ex.11.1.arsenic.df, Arsenic.ppb ~ Well)
# 
# ## so it can be used easily in a pipeline.
# EPA.09.Ex.11.1.arsenic.df %>%
#   ntbt_varGroupTest(Arsenic.ppb ~ Well)
# ## End(Not run)