In datashield/opal: Opal R and Datashield utils

Statistics

r summary <- opal.execute(o, paste0("summary(D$", variable$name, ")")) r length <- opal.execute(o, paste0("length(D$", variable$name, ")"))

Descriptive Statistic | Value --------------------- | ---------------- N | r length Mode | r names(summary[order(as.numeric(summary), decreasing=TRUE)[[1]]])

cat("Category | Frequency | %\n")
cat("---------------- | ---------------- | ----------------\n")
for (category in variable$categories) {
  freq <- as.numeric(summary[category$name])
  pct <- (freq/length)*100
  cat(paste0(category$name, " | ", freq," | ", pct,"| \n"))
}
freq <- as.numeric(summary["NA's"])
if (is.na(freq)) {
  cat(paste0("NA's | 0  | 0\n"))
} else {
  pct <- (freq/length)*100
  cat(paste0("NA's | ", freq," | ", pct,"| \n"))
}

# see http://docs.ggplot2.org/current/geom_bar.html
#opal.execute(o, paste0("qplot(", variable$name,", data=D)"))
opal.execute(o, paste0("ggplot(D, aes(", variable$name, ")) + geom_bar(width=.3)"))

datashield/opal documentation built on May 14, 2019, 7:53 p.m.