trfm_auto: Takes predictions from model object(s) and and combines it...

In bioticinteractions/predict2: Take model objects to make predictions, save model objects and predictions to disk

Description

Takes predictions from model object(s) and and combines it with actual values This function takes a vector of strings that represent the model object names

Usage

trfm_auto(trfm_df, data_df, variable_col, min_col, max_col, zero_value_col,
  missing_col, transformation_col, keep_col)

Arguments

trfm_df	The dataframe or datatable that contains the information for the transformations (i.e. values for the trfm() function)
data_df	The dataframe or datatable that contains the data that needs to be transformed
variable_col	The name of the column that holds the variable names for which the data need to be transformed. Default is 'variable'
min_col	The name of the column that holds the minimum values for the trfm() function. Default is 'min'
max_col	The name of the column that holds the maximum values for the trfm() function. Default is 'max'
zero_value_col	The name of the column that holds the zero-value for the trfm() function. Default is 'zero_value'
missing_col	The name of the column that holds the missing value for the trfm() function. Default is 'missing'
transformation_col	The name of the column that holds the transformation indicator. Default is 'transformation'. Key: 0 = no transformation; 1 = log(); 2 = sqrt()
keep_col	The name of the column that holds the 'y' or 'n' to keep a certain variable. Default is 'keep'

Value

trfm_auto() return a dataframe of the original data and the appended transformed data using trfm() and the parameters provided

Examples

library(predict2)
data(trfm_data)
data(data_raw)
trfm_example = trfm_auto(trfm_df = trfm_data, data_df = data_raw)

bioticinteractions/predict2 documentation built on May 28, 2019, 7:12 p.m.