Description Usage Arguments Value Author(s) Examples
check.scenarios
produces plots displaying the densities of the response for different deviations. check.betas
displays a sample of the functional process, the functional coefficient associated and its estimation based on 100 observations.
1 2 3 4 5 | check.scenarios(scenarios = 1:9, composite = TRUE, times = TRUE,
R2 = 0.95, M = 1000, main = FALSE)
check.betas(scenarios = 1:9, n = 100, R2 = 0.95, times = TRUE,
est.beta = TRUE, main = FALSE)
|
scenarios |
a vector giving the simulation scenarios to be checked. |
composite |
flag to indicate the generation of data according to a functional linear model with non-null coefficient ( |
times |
flag to indicate whether to show the time employed computing each model. |
R2 |
proportion of variance of the response Y explained by the linear model when |
M |
number of samples employed to estimate the densities of the response. |
main |
whether to show a caption indicating the scenario or not. |
n |
the sample size. |
est.beta |
flag to indicate whether to plot the functional coefficient estimate. |
Nothing. The functions are called for producing diagnostic plots.
Eduardo García-Portugués (edgarcia@est-econ.uc3m.es).
1 2 3 4 5 6 7 8 9 10 | ## Not run:
# Check scenarios and deviations
set.seed(3257641)
check.scenarios()
# Check betas
set.seed(3257641)
check.betas()
## End(Not run)
|
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