a3.base {A3} | R Documentation |
This function calculates the A3 results. Generally this function is not called directly. It is simpler to use a3
(for arbitrary models) or a3.lm
(specifically for linear regressions).
a3.base(formula, data, model.fn, simulate.fn, n.folds = 10,
data.generating.fn = replicate(ncol(x), a3.gen.default), p.acc = 0.01,
features = TRUE, slope.sample = NULL, slope.displacement = 1)
formula |
the regression formula. |
data |
a data frame containing the data to be used in the model fit. |
model.fn |
function used to generate a model. |
simulate.fn |
function used to create the model and generate predictions. |
n.folds |
the number of folds used for cross-validation. Set to 0 to use Leave One Out Cross Validation. |
data.generating.fn |
the function used to generate stochastic noise for calculation of exact p values. |
p.acc |
the desired accuracy for the calculation of exact p values. The entire calculation process will be repeated |
features |
whether to calculate the average slopes, added |
slope.sample |
if not NULL the sample size for use to calculate the average slopes (useful for very large data sets). |
slope.displacement |
the amount of displacement to take in calculating the slopes. May be a single number in which case the same slope is applied to all features. May also be a named vector where there is a name for each feature. |
S3 A3
object containing:
model.R2 |
The cross validated |
feature.R2 |
The cross validated |
model.p |
The p value for the entire model (if calculated). |
feature.p |
The p value for the features (if calculated). |
all.R2 |
The |
observed |
The observed response for each observation. |
predicted |
The predicted response for each observation. |
slopes |
Average slopes for each of the features (if calculated). |
all.slopes |
Slopes for each of the observations for each of the features (if calculated). |
table |
The A3 results table. |