trfm: 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 trfm <- function(df_variable, missing, min, max, zero_value, transformation)

Usage

trfm(df_variable, missing, min, max, zero_value, transformation)

Arguments

df_variable	A vector that contains the original values that need to be transformed
missing	The value that should replace any missing values in the dataset
min	The minimum value that a given variable should take; any value below the minimum will be set equal to the min value
max	The maximum value that a given variable should take; any value above the maximum will be set equal to the max value
zero_value	This is the value that any value of 0 should be.
transformation	This is an integer value for corresponding to one of three transformation: 0 == no transformation, 1 == log(), 2 == sqrt()

Value

trfm() will a vector of transformed values

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