S3 Class "distChoose"
Objects of S3 class "distChoose" are returned by the EnvStats function
distChoose.
Objects of S3 class "distChoose" are lists that contain
information about the candidate distributions, the estimated distribution
parameters for each candidate distribution, and the test statistics and
p-values associated with each candidate distribution.
Required Components
The following components must be included in a legitimate list of
class "distChoose".
choices |
a character vector containing the full names
of the candidate distributions. (see |
method |
a character string denoting which method was used. |
decision |
a character vector containing the full name of the chosen distribution. |
alpha |
a numeric scalar between 0 and 1 specifying the Type I error associated with each goodness-of-fit test. |
distribution.parameters |
a numeric vector containing the estimated parameters associated with the chosen distribution. |
estimation.method |
a character string indicating the method
used to compute the estimated parameters associated with the chosen
distribution. The value of this component will depend on the
available estimation methods (see |
sample.size |
a numeric scalar containing the number of non-missing observations in the sample used for the goodness-of-fit tests. |
test.results |
a list with the same number of components as the number
of elements in the component |
data.name |
character string indicating the name of the data object used for the goodness-of-fit tests. |
Optional Components
The following component is included in the result of
calling distChoose when the argument keep.data=TRUE:
data |
numeric vector containing the data actually used for the goodness-of-fit tests (i.e., the original data without any missing or infinite values). |
The following component is included in the result of
calling distChoose when missing (NA),
undefined (NaN) and/or infinite (Inf, -Inf)
values are present:
bad.obs |
numeric scalar indicating the number of missing ( |
Generic functions that have methods for objects of class
"distChoose" include: print.
Since objects of class "distChoose" are lists, you may extract
their components with the $ and [[ operators.
Steven P. Millard (EnvStats@ProbStatInfo.com)
# Create an object of class "distChoose", then print it out. # (Note: the call to set.seed simply allows you to reproduce # this example.) set.seed(47) dat <- rgamma(20, shape = 2, scale = 3) distChoose.obj <- distChoose(dat) mode(distChoose.obj) #[1] "list" class(distChoose.obj) #[1] "distChoose" names(distChoose.obj) #[1] "choices" "method" #[3] "decision" "alpha" #[5] "distribution.parameters" "estimation.method" #[7] "sample.size" "test.results" #[9] "data" "data.name" distChoose.obj #Results of Choosing Distribution #-------------------------------- # #Candidate Distributions: Normal # Gamma # Lognormal # #Choice Method: Shapiro-Wilk # #Type I Error per Test: 0.05 # #Decision: Gamma # #Estimated Parameter(s): shape = 1.909462 # scale = 4.056819 # #Estimation Method: MLE # #Data: dat # #Sample Size: 20 # #Test Results: # # Normal # Test Statistic: W = 0.9097488 # P-value: 0.06303695 # # Gamma # Test Statistic: W = 0.9834958 # P-value: 0.970903 # # Lognormal # Test Statistic: W = 0.9185006 # P-value: 0.09271768 #========== # Extract the choices #-------------------- distChoose.obj$choices #[1] "Normal" "Gamma" "Lognormal" #========== # Clean up #--------- rm(dat, distChoose.obj)
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