HumSensCorrect: Function to clean relative humidity data from self-built...

In MarkusLoew/MySensorCorrect: Correction functions for my self-built temperature and relative humidity sensors

Description

Function to clean relative humidity data from self-built sensors

Usage

HumSensCorrect(v, t.inter = 5.404, t.slope = 1.0745, min.rescale = 7.5,
  max.rescale = 98.8, poly.a = 0.002462, poly.b = 0.732, poly.c = 7.579)

Arguments

v	Vector that contains the measured relative humidity values.
t.inter	Intercept of the temperature correction. Default provided. Numeric.
t.slope	Slope of the temperature correction. Default provided. Numeric.
min.rescale	Minimal relative humidity that was found at the site. Used set the range of the relative humidity values. Default provided from the calibration experiment. Numeric.
max.rescale	Maximum relative humidity that was found at the site. Used set the range of the relative humidity values. Default provided from the calibration experiment. Numeric.
poly.a	First coefficient of the calibration polynom (a * v^2 + b * v + c). Default provided from calibration experiment.
poly.b	First coefficient of the calibration polynom (a * v^2 + b * v + c). Default provided from calibration experiment.
poly.c	First coefficient of the calibration polynom (a * v^2 + b * v + c). Default provided from calibration experiment.

Value

Vector with the calibrated and re-scaled relative humidity values.

Examples

## Not run: 
co.hum$Hum.func <- HumSensCorrect(co.hum$Hum_Avg)

## End(Not run)

MarkusLoew/MySensorCorrect documentation built on May 3, 2019, 3:36 p.m.