I've created a vector "numGrades" of 100 random numbers to represent values within a grading system. I need to write a "for" loop that takes segments of numerical grades and returns a vector of corresponding letter grades i.e.: 90+ = "A", 80-89 = "B", 70-79 = "C", 60-69 = "D", 0-59 = "F". I want to be able to run numGrades to return the corresponding letter grade for example: numGrades = [72, 65, 93] returning = ["C", "D", "A"] with the loop handling vectors of any length. This is what I have tried so far individually. All of these loops have returned warnings:
set.seed(43)
numGrades <- sample(0:100, 100, replace=FALSE)
for (i in numGrades )
if(91 <= numGrades[i]) {
numGrades[i] <- "A"
} else if (80 <= numGrades[i] & numGrades[i] <= 90) {
numGrades[i] =="B"
} else if (70 <= numGrades[i] & numGrades[i] <= 79) {
numGrades[i] =="C"
} else if (60 <= numGrades[i] & numGrades[i] <= 69) {
numGrades[i] =="D"
} else if (0 <= numGrades[i] & numGrades[i] <= 59) {
numGrades[i] =="F"
}
It's saying:
Error in if (91 <= numGrades[i]) { :
missing value where TRUE/FALSE needed
New Edit (Returns for grades >= 91 only):
numGrades <- (0:100)
for (i in 1:length(numGrades ))
if(91 <= numGrades[i]) {
numGrades[i] <- "A"
} else if (80 <= numGrades[i] & numGrades[i] <= 90) {
numGrades[i] =="B"
} else if (70 <= numGrades[i] & numGrades[i] <= 79) {
numGrades[i] =="C"
} else if (60 <= numGrades[i] & numGrades[i] <= 69) {
numGrades[i] =="D"
} else if (0 <= numGrades[i] & numGrades[i] <= 59) {
numGrades[i] =="F"
}
Working Rough Draft
ltrGrades <- (0:100)
numGrades <- character(length(ltrGrades))
for (i in 1:length(ltrGrades ))
if(any(ltrGrades[i] == 91:100)) {
numGrades[i] <- "A"
} else if (any(ltrGrades[i] == 80:90)) {
numGrades[i] <- "B"
} else if (any(ltrGrades[i] == 70:79)) {
numGrades[i] <- "C"
} else if (any(ltrGrades[i] == 60:69)) {
numGrades[i] <- "D"
} else if (any(ltrGrades[i] == 0:59)) {
numGrades[i] <- "F"
}
There are some fundamental R syntax problems with your code.
(numGrades[i]) c(80:90))
(numGrades[i]) >=80 && <=89)
(numGrades[i]) ==80:89 )
Several alternatives, most inefficient:
(80 <= numGrades[i] & numGrades[i] < 90) # the most basic
(dplyr::between(numGrades[i], 80, 90)) # if dplyr is loaded
(data.table::between(numGrades[i], 80, 90)) # if data.table is available
(numGrades[i] %in% 80:89) # works only if all grades are perfectly integral
(any(numGrades[i] == 80:89)) # ditto
Why are they wrong?
(numGrades[i]) c(80:90))
, because there is not operator(numGrades[i]) >=80 && <=89)
, R does not infer them as you suggest, every time you do an (in)equality test you need to specify both the LHS and RHS for each one; similarly, unlikely many languages, R does not "chain" them, so (80 <= numGrades[i] <= 89)
will not work(numGrades[i]) ==80:89 )
is getting closer, but if
/else
statements require a single comparison; in this case, you are comparing one number with a sequence (range) of 10, so the reply from this is length 10. It must be length 1. Bottom line, though, is that you do not need a loop.
# set.seed(43)
numGrades <- sample(0:100, 100, replace=FALSE)
cut(numGrades, c(-1, 60, 70, 80, 90, 101), labels=c("F","D","C","B","A"))
# [1] F A F D F F D F F C F F F F F B F A F F C A F F F F A F A F C C C B F
# [36] F F F B A F F F A B B C D F F F B D F F B D D B F F F F F F D F A F F
# [71] F F F F B F D F A F F F F F A B F F F C F F F D D C C F F F
# Levels: F D C B A
or if you don't like or understand what a factor
is, then
as.character(cut(numGrades, c(-1, 60, 70, 80, 90, 101), labels=c("F","D","C","B","A")))
# [1] "F" "A" "F" "D" "F" "F" "D" "F" "F" "C" "F" "F" "F" "F" "F" "B" "F"
# [18] "A" "F" "F" "C" "A" "F" "F" "F" "F" "A" "F" "A" "F" "C" "C" "C" "B"
# [35] "F" "F" "F" "F" "B" "A" "F" "F" "F" "A" "B" "B" "C" "D" "F" "F" "F"
# [52] "B" "D" "F" "F" "B" "D" "D" "B" "F" "F" "F" "F" "F" "F" "D" "F" "A"
# [69] "F" "F" "F" "F" "F" "F" "B" "F" "D" "F" "A" "F" "F" "F" "F" "F" "A"
# [86] "B" "F" "F" "F" "C" "F" "F" "F" "D" "D" "C" "C" "F" "F" "F"
EDIT
I just noticed something else about your code.
When you start, numGrades
is either numeric or integer. However, since it is a vector, the first time you assign a letter to one of its elements, the entire vector is converted to a character
vector. The second pass through the for
loop will try to compare a number with a string, which will not do a numeric comparison, try 8 < "75"
for why this will fail.
As a workaround for this:
ltrGrades <- character(length(numGrades))
for (i in 1:length(numGrades ))
if(91 <= numGrades[i]) {
ltrGrades[i] <- "A"
} else if (80 <= numGrades[i] & numGrades[i] <= 90) {
ltrGrades[i] <- "B"
} else if (70 <= numGrades[i] & numGrades[i] <= 79) {
ltrGrades[i] <- "C"
} else if (60 <= numGrades[i] & numGrades[i] <= 69) {
ltrGrades[i] <- "D"
} else if (0 <= numGrades[i] & numGrades[i] <= 59) {
ltrGrades[i] <- "F"
}