NEWS
evrfish 0.7.0
- Added
aggregate_water_temp_data() function.
evrfish 0.6.0
- Changed
gsdd() from "longest" growing season to "all" growing seasons.
- Changed
gss() so ignores end truncation but not start truncation by default.
evrfish 0.5.0
- Added
date_atus() from gsdd package to calculate the date on which a specified number of accumulated thermal units are exceeded.
gss_plot() now has min_length = 60 by default.
evrfish 0.4.0
- Added
gss_plot() to plot temperature time series and season(s).
evrfish 0.3.0
- Added
gss() function from gsdd package to calculate growing seasons.
evrfish 0.2.1
- Set lower default
min_length = 120 for gsdd_cf().
evrfish 0.2.0
- Added
gsdd() and gdd() to calculate Growing Season Degree Days and Growing Degree Days for a data frame for longest season (following decision by Ecofish and Lotic).
- Soft-deprecated
gsdd_cf() for gsdd::gsdd_vctr() which both calculate Growing Season Degree Days for a vector.
- Removed
simulated_data.
evrfish 0.1.0
Additions
- Added
interpolate_numeric_vector() function to fill in missing values using linear interpolation.
- Added
freshwaterfish data from fishbc package to provide British Columbian and Alberta fish codes as well as taxonomy and conservation status.
Modifications
gsdd_cf() Function
- Uses the longest sequence on non-missing values, which must be at least 184 elements (otherwise returns
NA), to calculate the Growing Season Degree Days.
- Returns the sum of the Growing Season Degree Days for all the growing 'seasons' although the user can use the
pick argument to specify whether to instead return the GSDD value for the "biggest", "smallest", "longest", "shortest", "first" or "last" 'season' within the sequence.
ignore_truncation argument of gssd_cf() now accepts "start" and "end" instead of
"left" and "right".
- Replaced
quiet = FALSE argument with msgs = TRUE.
evrfish 0.0.1
- Added
gsdd_cf() function which implements Growing Season Degree Days
algorithm as described by Coleman and Fausch (2007)
- Added
classify_water_temp_data() function to classify raw water temperature
data as reasonable, questionable, or unreasonable based on
simple criteria
- Added
simulated_data data set.