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Print Objects of the S3 Class profileLadder

print.profileLadder.Rd

Function to organize and print the outputs provided by the function parallelReserve() and the function mcReserve

Usage

# S3 method for class 'profileLadder'
print(x, fancy.print = getOption("profileLadder.fancy", TRUE), ...)

Arguments

x

an object of the class profileLadder resulting from a call of one of the functions parallelReserve(), mcReserve, or as.profileLadder()

fancy.print

logical to indicate whether fancy run-off triangle should be printed or a standard output should be used instead. The default choice is TRUE. Note that that fancy print option uses by DEFAULT zero decimal digits. Specific colors for the fancy print option and the number of decimal points to be used can be set by the function set.fancy.print(). The fancy print option can be supressed by options(profileLadder.fancy = FALSE).

...

further arguments passed to print()

Value

displays information resulting from a call of the parallelReserve() function or the mcReserve function

See also

as.profileLadder(), set.fancy.print(), parallelReserve(), mcReserve()

Examples

data(CameronMutual)
## full run-off triangle printed with the fancy mode
x <- as.profileLadder(CameronMutual)
print(x) 
#> Run-off Reserving 
#>     Estimated Reserve    Estimated Ultimate           Paid Amount 
#>                    NA                    NA                105159 
#>          True Reserve 
#>                  7963 
#> 
#> Run-off triangle (complete/fully observed)
#> 5244 	 9228 	10823 	11352 	11791 	12082 	12120 	12199 	12215 	12215 	
#> 5984 	 9939 	11725 	12346 	12746 	12909 	13034 	13109 	13113 	13115 	
#> 7452 	12421 	14171 	14752 	15066 	15354 	15637 	15720 	15744 	15786 	
#> 7115 	11117 	12488 	13274 	13662 	13859 	13872 	13935 	13973 	13972 	
#> 5753 	 8969 	 9917 	10697 	11135 	11282 	11255 	11331 	11332 	11354 	
#> 3937 	 6524 	 7989 	 8543 	 8757 	 8901 	 9013 	 9012 	 9046 	 9164 	
#> 5127 	 8212 	 8976 	 9325 	 9718 	 9795 	 9833 	 9885 	 9816 	 9815 	
#> 5046 	 8006 	 8984 	 9633 	10102 	10166 	10261 	10252 	10252 	10252 	
#> 5129 	 8202 	 9185 	 9681 	 9951 	10033 	10133 	10182 	10182 	10183 	
#> 3689 	 6043 	 6789 	 7089 	 7164 	 7197 	 7253 	 7267 	 7266 	 7266 	

## run-off triangle with unobserved future payments 
x <- as.profileLadder(observed(CameronMutual))
print(x) 
#> Run-off Reserving 
#>     Estimated Reserve    Estimated Ultimate           Paid Amount 
#>                    NA                    NA                105159 
#>          True Reserve 
#>                    NA 
#> 
#> Run-off triangle
#> 5244 	 9228 	10823 	11352 	11791 	12082 	12120 	12199 	12215 	12215 	
#> 5984 	 9939 	11725 	12346 	12746 	12909 	13034 	13109 	13113 	    . 	
#> 7452 	12421 	14171 	14752 	15066 	15354 	15637 	15720 	    . 	    . 	
#> 7115 	11117 	12488 	13274 	13662 	13859 	13872 	    . 	    . 	    . 	
#> 5753 	 8969 	 9917 	10697 	11135 	11282 	    . 	    . 	    . 	    . 	
#> 3937 	 6524 	 7989 	 8543 	 8757 	    . 	    . 	    . 	    . 	    . 	
#> 5127 	 8212 	 8976 	 9325 	    . 	    . 	    . 	    . 	    . 	    . 	
#> 5046 	 8006 	 8984 	    . 	    . 	    . 	    . 	    . 	    . 	    . 	
#> 5129 	 8202 	    . 	    . 	    . 	    . 	    . 	    . 	    . 	    . 	
#> 3689 	    . 	    . 	    . 	    . 	    . 	    . 	    . 	    . 	    . 	

## the same run-off triangle using a standard printing method 
options(profileLadder.fancy = FALSE)
print(x)
#> Run-off Reserving 
#>     Estimated Reserve    Estimated Ultimate           Paid Amount 
#>                    NA                    NA                105159 
#>          True Reserve 
#>                    NA 
#> 
#> Run-off triangle
#>       dev
#> origin    1     2     3     4     5     6     7     8     9    10
#>     1  5244  9228 10823 11352 11791 12082 12120 12199 12215 12215
#>     2  5984  9939 11725 12346 12746 12909 13034 13109 13113    NA
#>     3  7452 12421 14171 14752 15066 15354 15637 15720    NA    NA
#>     4  7115 11117 12488 13274 13662 13859 13872    NA    NA    NA
#>     5  5753  8969  9917 10697 11135 11282    NA    NA    NA    NA
#>     6  3937  6524  7989  8543  8757    NA    NA    NA    NA    NA
#>     7  5127  8212  8976  9325    NA    NA    NA    NA    NA    NA
#>     8  5046  8006  8984    NA    NA    NA    NA    NA    NA    NA
#>     9  5129  8202    NA    NA    NA    NA    NA    NA    NA    NA
#>     10 3689    NA    NA    NA    NA    NA    NA    NA    NA    NA
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