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Summary of Gaussian-based model gaussmodel object

Source: R/gaussmodel.r
summary.gaussmodel.Rd

Summary of gaussmodel object, including a mean and a standard deviation and quantiles. If some estimation has done, also print out estimates, up to nmax number of them.

Usage

# S3 method for gaussmodel
summary(object, nmax = 10, estonly = FALSE, ...)

Arguments

object

gaussmodel object.

nmax

A number of estimates to show in the summary. The default is 10.

estonly

Show only the results of estimates. The default value is FALSE.

...

Arguments to be passed to or from other methods.

Value

None.

See also

gaussmodel() plot.gaussmodel() estimate.gaussmodel()

Examples

## Create gaussmodel object from a data set mix2gauss$n200
gmodel <- gaussmodel(mix2gauss$n200)
## Print a summary of an object
summary(gmodel)
#>   SUMMARY
#> Name: mix2gauss$n200 
#> The number of Data:  200 
#> Mean   Std.
#> 0.4503117 1.022398 
#> Quantile:
#>         0%        25%        50%        75%       100% 
#> -2.1092675 -0.2774186  0.7110494  1.2108179  2.0967254 
#> Quantile of Scaled Data:
#>         0%        25%        50%        75%       100% 
#> -2.5035068 -0.7117881  0.2550257  0.7438459  1.6103458