Nothing

```
summarySecDiff = function(APCList, variable="age", log=FALSE){
result = APCList@inlares[[1]]
if(length(grep("diff_i", rownames(result$summary.lincomb.derived)))==0){
stop("\n\n\tMarginals for the second differences have not been computed yet.\n\tYou need to switch on the option secondDiff in the BAPC function call.\n")
}
if(!(variable %in% c("age", "period", "cohort"))){
stop("\n\n\tThe varible indicator must be either equal to \"age\", \"period\" or \"cohort\"!\n")
}
if(variable == "age"){
len = nage(APCList)
idx = grep("diff_i", rownames(result$summary.lincomb.derived))
} else if(variable == "period"){
len = nperiod(APCList)
idx = grep("diff_j", rownames(result$summary.lincomb.derived))
} else{
len = ncohort(APCList)
idx = grep("diff_k", rownames(result$summary.lincomb.derived))
}
cnames = c("mean", "sd", "0.025Q", "0.5Q", "0.975Q")
sumTable = matrix(NA, nrow=len-2, ncol=5)
colnames(sumTable) = cnames
if(!log){
for(i in 1:(len-2)){
sumTable[i,] = unlist(.logsum2expsum(result$marginals.lincomb.derived[[idx[i]]]))[-c(4,6)]
}
} else {
sumTable = result$summary.lincomb.derived[idx,]
}
return(sumTable)
}
```

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