rict_compare: Compare the Statistical Differences between Classifications...
In aquaMetrics/rict: River Invertebrate Classification Tool (RICT)
rict_compare R Documentation
Compare the Statistical Differences between Classifications Results
Description
The 'rict_compare' function allows the user to assess whether there is a real
difference in EQR values and/or status class between a pair of results and/or
sites and/or time periods.
Usage
rict_compare(results_a = NULL, results_b = NULL)
Arguments
results_a
Dataframe output from 'rict(store_eqrs = T)'. The
'results_b' and 'results_b' input dataframes must have the same number of
rows
results_b
Dataframe output from 'rict(store_eqrs = T)'. The
'results_b' and 'results_b' input dataframes must have the same number of
rows
Details
The 'rict_compare' makes use of two lower level functions:
compare_test and compare_probability. Before
passing data to these functions it formats the data and removes results for
example the 'MINTA' values as these are not applicable for
'compare_test()'.
Value
Dataframe of compare results with 44 variables see 'technical
specifications' for details. Returns output of results the same length as
the input files.
- EQR metric compared
EQR metric from Result A which is being compared
("Vs") the metric in Result B for example SUM_ASPT Vs SUM_ASPT - this row
is comparing Summer ASPT results A to Summer ASPT in results B. Note, if
only one season is calculated, the "AVG_"... EQR metric (average) will have
the same value as the season EQR value
- Result A
Concatennated results name of Year and Site
- Result B
Concatennated results name of Year and Site
- Average EQR for Result A
Average EQR
- Average EQR for Result B
Average EQR
- Average EQR: Difference (B - A)
Difference in EQR
- Standard Deviation of Difference
Standard Deviation of Difference
- Lower 95% (L95) of Difference
Lower 95% (L95) of Difference
- Upper 95% (U95) of Difference
Upper 95% (U95) of Difference
- 2-sided test probability p of No difference in EQR
p of probability test
- Most Probable Class for Result A
Most Probable Class for Result A
- Probability of most likely class for Result A
Probability of most likely class for Result A
- Most Probable Class for Result B
Most Probable Class for Result B
- Probability of most likely class for Result B
Probability of most likely class for Result B
- Probability B more than one class Worse than A
Probability B more than one class Worse than A
- Probability B one class Worse than A
Probability B one class Worse than A
- Probability B same Class as A
Probability B same Class as A
- Probability B one class Better than A
Probability B one class Better than A
- Probability B more than one class Better than A
Probability B more than one class Better than A
- Probability Result A in High & Result B in High
Probability...
- Probability Result A in High & Result B in Good
Probability...
- Probability Result A in High & Result B in Moderate
Probability...
- Probability Result A in High & Result B in Poor
Probability...
- Probability Result A in High & Result B in Bad
Probability...
- Probability Result A in Good & Result B in High
Probability...
- Probability Result A in Good & Result B in Good
...
- Probability Result A in Good & Result B in Moderate
...
- Probability Result A in Good & Result B in Poor
...
- Probability Result A in Good & Result B in Bad
...
- Probability Result A in Moderate & Result B in High
...
- Probability Result A in Moderate & Result B in Good
...
- Probability Result A in Moderate & Result B in Moderate
...
- Probability Result A in Moderate & Result B in Poor
...
- Probability Result A in Moderate & Result B in Bad
...
- Probability Result A in Poor & Result B in High
...
- Probability Result A in Poor & Result B in Good
...
- Probability Result A in Poor & Result B in Moderate
...
- Probability Result A in Poor & Result B in Poor
...
- Probability Result A in Poor & Result B in Bad
...
- Probability Result A in Bad & Result B in High
...
- Probability Result A in Bad & Result B in Good
...
- Probability Result A in Bad & Result B in Moderate
...
- Probability Result A in Bad & Result B in Poor
...
- Probability Result A in Bad & Result B in Bad
...
Examples
## Not run:
results_a <- rict(demo_observed_values[1, ], store_eqrs = TRUE, year_type = "single")
results_b <- rict(demo_gis_values_log[2, ], store_eqrs = TRUE, year_type = "single")
compare <- rict_compare(results_a, results_b)
## End(Not run)
aquaMetrics/rict documentation built on March 1, 2025, 1:31 p.m.
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| rict_compare | R Documentation |
Compare the Statistical Differences between Classifications Results
Description
The 'rict_compare' function allows the user to assess whether there is a real difference in EQR values and/or status class between a pair of results and/or sites and/or time periods.
Usage
rict_compare(results_a = NULL, results_b = NULL)
Arguments
results_a |
Dataframe output from 'rict(store_eqrs = T)'. The 'results_b' and 'results_b' input dataframes must have the same number of rows |
results_b |
Dataframe output from 'rict(store_eqrs = T)'. The 'results_b' and 'results_b' input dataframes must have the same number of rows |
Details
The 'rict_compare' makes use of two lower level functions:
compare_test and compare_probability. Before
passing data to these functions it formats the data and removes results for
example the 'MINTA' values as these are not applicable for
'compare_test()'.
Value
Dataframe of compare results with 44 variables see 'technical specifications' for details. Returns output of results the same length as the input files.
- EQR metric compared
EQR metric from Result A which is being compared ("Vs") the metric in Result B for example SUM_ASPT Vs SUM_ASPT - this row is comparing Summer ASPT results A to Summer ASPT in results B. Note, if only one season is calculated, the "AVG_"... EQR metric (average) will have the same value as the season EQR value
- Result A
Concatennated results name of Year and Site
- Result B
Concatennated results name of Year and Site
- Average EQR for Result A
Average EQR
- Average EQR for Result B
Average EQR
- Average EQR: Difference (B - A)
Difference in EQR
- Standard Deviation of Difference
Standard Deviation of Difference
- Lower 95% (L95) of Difference
Lower 95% (L95) of Difference
- Upper 95% (U95) of Difference
Upper 95% (U95) of Difference
- 2-sided test probability p of No difference in EQR
p of probability test
- Most Probable Class for Result A
Most Probable Class for Result A
- Probability of most likely class for Result A
Probability of most likely class for Result A
- Most Probable Class for Result B
Most Probable Class for Result B
- Probability of most likely class for Result B
Probability of most likely class for Result B
- Probability B more than one class Worse than A
Probability B more than one class Worse than A
- Probability B one class Worse than A
Probability B one class Worse than A
- Probability B same Class as A
Probability B same Class as A
- Probability B one class Better than A
Probability B one class Better than A
- Probability B more than one class Better than A
Probability B more than one class Better than A
- Probability Result A in High & Result B in High
Probability...
- Probability Result A in High & Result B in Good
Probability...
- Probability Result A in High & Result B in Moderate
Probability...
- Probability Result A in High & Result B in Poor
Probability...
- Probability Result A in High & Result B in Bad
Probability...
- Probability Result A in Good & Result B in High
Probability...
- Probability Result A in Good & Result B in Good
...
- Probability Result A in Good & Result B in Moderate
...
- Probability Result A in Good & Result B in Poor
...
- Probability Result A in Good & Result B in Bad
...
- Probability Result A in Moderate & Result B in High
...
- Probability Result A in Moderate & Result B in Good
...
- Probability Result A in Moderate & Result B in Moderate
...
- Probability Result A in Moderate & Result B in Poor
...
- Probability Result A in Moderate & Result B in Bad
...
- Probability Result A in Poor & Result B in High
...
- Probability Result A in Poor & Result B in Good
...
- Probability Result A in Poor & Result B in Moderate
...
- Probability Result A in Poor & Result B in Poor
...
- Probability Result A in Poor & Result B in Bad
...
- Probability Result A in Bad & Result B in High
...
- Probability Result A in Bad & Result B in Good
...
- Probability Result A in Bad & Result B in Moderate
...
- Probability Result A in Bad & Result B in Poor
...
- Probability Result A in Bad & Result B in Bad
...
Examples
## Not run:
results_a <- rict(demo_observed_values[1, ], store_eqrs = TRUE, year_type = "single")
results_b <- rict(demo_gis_values_log[2, ], store_eqrs = TRUE, year_type = "single")
compare <- rict_compare(results_a, results_b)
## End(Not run)
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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