4
objects <- list (substitute (test50x), substitute (test10y))
5
results <- data.frame ('Variable Name'=rep (NA, length (objects)), check.names=FALSE)
6
for (i in 1:length (objects)) {
7
results[i, 'Variable Name'] <- rk.get.description (objects[[i]], is.substitute=TRUE)
8
var <- eval (objects[[i]], envir=globalenv ())
9
results[i, 'Length'] <- length (var)
10
results[i, 'NAs'] <- sum (is.na(var))
13
test <- Box.test (var, lag = 1, type = "Box-Pierce")
14
results[i, 'X-squared'] <- test$statistic
15
results[i, 'degrees of freedom'] <- test$parameter
16
results[i, 'p-value'] <- test$p.value
20
rk.header ("Box-Pierce Test",
21
parameters=list ("lag", "1", "type", "Box-Pierce"))
25
.rk.rerun.plugin.link(plugin="rkward::Box_test", settings="lag.real=1.00\nlength.state=1\nnarm.state=0\ntype.string=Box-Pierce\nx.available=test50x\\ntest10y", label="Run again")