compute_adaptation: Compute the necessary information for testing adaptation
In radchukv/adRes: Assessing Whether Phenotypic Changes in Response to Climate are Adaptive
Description
Usage
Arguments
Value
Examples
Description
compute_adaptation computes all necessary information, for all
studies, to compare the Weighted Mean Selection (WMS) gradient to the product
of the step 1 and 2.
Usage
1
Arguments
data
A dataframe containing per each study the time series of relevant variables
(i.e. yearly climate values, yearly trait values or yearly selection differentials)
to be analyzed.
Value
A data.frame.
Examples
1
2
3
data_for_Trait <- prepare_data(data = dat_Trait, temperature = TRUE,
phenology = TRUE, morphology = FALSE)
compute_adaptation(data = data_for_Trait[data_for_Trait$id %in% c("7"), ])
radchukv/adRes documentation built on June 1, 2019, 7:05 p.m.
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Description Usage Arguments Value Examples
Description
compute_adaptation computes all necessary information, for all
studies, to compare the Weighted Mean Selection (WMS) gradient to the product
of the step 1 and 2.
Usage
1 |
Arguments
data |
A dataframe containing per each study the time series of relevant variables (i.e. yearly climate values, yearly trait values or yearly selection differentials) to be analyzed. |
Value
A data.frame.
Examples
1 2 3 | data_for_Trait <- prepare_data(data = dat_Trait, temperature = TRUE,
phenology = TRUE, morphology = FALSE)
compute_adaptation(data = data_for_Trait[data_for_Trait$id %in% c("7"), ])
|
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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