yearly_trend: Compute descriptive statistics per year
In jiho/coclimer: Analyse Time Series of HABs for project CoClime
Description
Usage
Arguments
Value
Examples
Description
Compute descriptive statistics per year
Usage
1
yearly_trend(s, type = c("monotonous", "median"))
Arguments
s
Data.frame output by yearly_stats().
type
Type of trend to test: "monotonous" for Mann-Kendall test for a monotonous trend (and plot of a loose polynomial fit to the data), "median" for a quantile regression of the median (and a plot of the corresponding regression result).
Value
Table with year and one column per statistic
Examples
1
2
3
s <- yearly_stats(ost$date, ost$benthic, bloom_threshold=200000)
yearly_trend(s)
yearly_trend(s, type="median")
jiho/coclimer documentation built on July 26, 2020, 4:02 a.m.
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Description Usage Arguments Value Examples
Description
Compute descriptive statistics per year
Usage
1 | yearly_trend(s, type = c("monotonous", "median"))
|
Arguments
s |
Data.frame output by |
type |
Type of trend to test: "monotonous" for Mann-Kendall test for a monotonous trend (and plot of a loose polynomial fit to the data), "median" for a quantile regression of the median (and a plot of the corresponding regression result). |
Value
Table with year and one column per statistic
Examples
1 2 3 | s <- yearly_stats(ost$date, ost$benthic, bloom_threshold=200000)
yearly_trend(s)
yearly_trend(s, type="median")
|
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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