metrics.predicted: Predicted Metrics

In leppott/MMIcalcNV: MMI calculation NV, Calculate Predicted Metrics

Description

This function allows you to generate predicted metric scores based on data frame of stationIDs and site predictors. Generate predicted metric scores based on site location predictors in O/E (RandomForest) model. Output is table (stations by metrics).

Usage

metrics.predicted(fun.df)

Arguments

fun.df

data frame of station IDs and site predictors.

Details

input data frame: head(NV.predictors) [1] "Sitecode" "ELVmax_WS" "PrdCond" "SQ_KM" "Tmax_WS" "Pmin_WS" [7] "WDmax_WS" "BFI_WS" "HYDR_WS" "Pmax_PT" "ELVmin_WS" "Tmax_PT" [13] "ELVcv_PT" "ELVmean_WS" "Pmax_WS" "Slope_WS"

Value

Returns a data frame of stations and predicted metric values.

Examples

# Location of files.
path <- getwd()
setwd(path)

library("MMIcalcNV")

# Load Station Predictors
#prednew <- read.csv("predictors.20170215.csv")
prednew <- NV.predictors
head(prednew)
# Run function to get predicted metrics
new.metrics.pred <- metrics.predicted(prednew)
# Save the file
#write.csv(new.metrics.pred,"metrics_predicted.csv",row.names=FALSE)

leppott/MMIcalcNV documentation built on May 21, 2019, 5:10 a.m.