predict_lm: Apply smooothing based on linear model
In southwick-associates/sadashreg: Process summary data for national/regional dashboards
Description
Usage
Arguments
See Also
Description
Developed in Sep 2019 to adjust for data artifact in FL hunting data
Usage
1
predict_lm(df_all, mod, yrs, met, grp, cats)
Arguments
df_all
summary results in data frame
mod
linear model produced by est_lm
yrs
years to be estimated using linear model
met
selected metric (from df_all$metric)
grp
selected group (from df_all$group)
cats
selected category (from df_all$category)
See Also
Other functions to adjust state results:
est_lm(),
est_residents(),
scale_segs()
southwick-associates/sadashreg documentation built on Jan. 7, 2022, 1:35 a.m.
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Description Usage Arguments See Also
Description
Developed in Sep 2019 to adjust for data artifact in FL hunting data
Usage
1 | predict_lm(df_all, mod, yrs, met, grp, cats)
|
Arguments
df_all |
summary results in data frame |
mod |
linear model produced by |
yrs |
years to be estimated using linear model |
met |
selected metric (from df_all$metric) |
grp |
selected group (from df_all$group) |
cats |
selected category (from df_all$category) |
See Also
Other functions to adjust state results:
est_lm(),
est_residents(),
scale_segs()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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