Nothing

```
rankhazard_CI <- function(modelobj, x, refpoints, factorlevels, covariatelabs, coefs){
# This function calculates predictions as a product of coefs and x, and
# reference values as a product of coefs and refpoints.
# Factors are given in a dummy format but returned as one variable.
# The function returns data as x, predictions as xp, reference values as refvalues
# and indices of covariates for which the predictions can be calculated by this function as
# select_CI.
# Works with coxph and cph objects.
factorlabs <- names(factorlevels)
factors <- which(is.element(covariatelabs, factorlabs))
xp <- as.data.frame(t(coefs * t(x)))
columns <- sapply(modelobj$assign, length)
orig_var <- which(columns == 1)
select <- sort(union(orig_var, factors)) #for these covariates confidence intervals can be calculated
indices <- sapply(modelobj$assign, "[[", 1) #indices where values for each covariate are/begin
xp[factorlabs] <- 0 #these covariates don't exist yet because factors are in a dummy format
x[factorlabs] <- 0
j <- 1
for(i in factors){ # levels of factors are combined to one variable
if (columns[i] > 1) # multiple-level factors
xp[factorlabs[j]] <- apply(xp[, indices[i] + 0:(columns[i] - 1)], 1, sum)
else xp[factorlabs[j]] <- xp[, indices[i]] # two-level factors
for (l in 1:(columns[i])) #the values of different levels are copied into same variable
x[factorlabs[j]] <- ifelse(x[, indices[i] + l - 1] == 1, factorlevels[[j]][l + 1], x[, factorlabs[j]])
#the cases with xp == 0 have the value of the reference level
x[factorlabs[j]] <- ifelse(xp[, factorlabs[j]] == 0, factorlevels[[j]][1], x[, factorlabs[j]])
#the factors in the model are coerced as factors in x
xfactor <- as.factor(x[, factorlabs[j]])
x[factorlabs[j]] <- relevel(xfactor, ref = factorlevels[[j]][1])
j <- j + 1
}
covariatelabs <- covariatelabs[select]
xp <- xp[covariatelabs]
x <- x[covariatelabs]
refvalues <- coefs[indices[select]] * refpoints[select]
names(refvalues) <- covariatelabs
refvalues[factorlabs] <- 0 # the reference value for factors is zero as coefficient for the reference level is zero
return(list(x = x, xp = xp, refvalues = refvalues, select_CI = select))
}
```

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