wtreg_res: Results from weighted regression with the SAPDC dataset
In fawda123/WtRegDO: Implement Weighted Regression on Dissolved Oxygen Time Series

wtreg_res

R Documentation

Results from weighted regression with the SAPDC dataset

Description

Results after detiding the SAPDC sample dataset with wtreg. The dataset is identical to SAPDC with the addition of eight columns that were used during regression.

Usage

wtreg_res

Format

A data.frame with 17568 rows and 16 columns.

DateTimeStamp: POSIXct, timestamp of water quality observation
Temp: numeric, water temperature, celsius
Sal: numeric, salinity, ppt
DO_obs: numeric, dissolved oxygen, mg L-1
ATemp: numeric, air temperature, celsius
BP: numeric, barometric pressure, mb
WSpd: numeric, wind speed, m s-1
Tide: numeric, tide height, m, estimated from pressure data using harmonic regression
metab_date: Date, the metabolic day defined as the period from sunrise to sunrise on two adjacent calender days
solar_period: Factor, identifier that categorizes each time step as occuring during daylight (sunrise) or nighttime (sunset) based on sunrise and sunset times in the value column
solar_time: POSIXct, sequential sunrise and sunset times for the time series
day_hrs: numeric, total time of sunlight in the metabolic day
dec_time: numeric, decimal time in days
hour: numeric, hour of the day
DO_prd: numeric, predicted dissolved oxygen from wtreg
DO_nrm: numeric, detided (or normalized) dissolved oxygen from wtreg