plot.dfCorTest {ChainLadder} | R Documentation |
plot.dfCorTest
, a method to plot the output of
dfCorTest
. It is designed to give a quick overview
of a dfCorTest
object and to check the assumption of independece between development factors.
## S3 method for class 'dfCorTest'
plot(x, type = "l", xlab = "T", ylab = "Density",
main = "Development Factor Correlation", col.area = "gray",
border = NA, ...)
x |
output from |
type |
Default: "l". What type of plot should be drawn |
xlab |
Default: "Z". X axis label |
ylab |
Default: "Density". Y axis label |
main |
Default: "Development Factor Correlation". Plot title |
col.area |
Default: "gray". Color of the shaded area. |
border |
Default: NULL, the color to draw the border. Use |
... |
optional arguments. See |
plot.dfCorTest
shows the underlying distribution, the test statistic Z
and the relative Confidence Interval.
If the test statistic Z
is within the highlighted region the hypothesis of correlation between development factors could be rejected.
Marco De Virgilis devirgilis.marco@gmail.com
See Also dfCorTest
,
summary.dfCorTest
plot(dfCorTest(RAA))