r - Amending a dataset using multiple 'Or' statements to match column data -

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i have dataset consisting of hundreds of diagnosis codes. i'm intending reduce these broader condition. example,

dt <- data.frame(diagnosis=c("a415","a419","b519","b589","t814"),broader.condition=na)

is snapshot of current data. thought might able iterate through each diagnosis code, check if 1 interested in, input broader diagnosis corresponding column, here attempt

for(i in 1:length(dt$diagnosis)){ if(dt$diagnosis[i] == "a415"||"a419"||"b519"||"b589"||"t814"){ dt$broader.condition[i] = "skull , face fractures"}

however don't believe i'm using || 'or' statements correctly throws

"error in dt$diagnosis[i] == "a415" || "a419" : invalid 'y' type in 'x'||'y'

any advice on or 'or' statements within loops appreciated. i'm going extend each code , corresponding broader condition using multiple 'if' statements in 'for' loop.

you have unbalanced brackets, way. removed brackets, useless here.

way 1:

for(i in 1:length(dt$diagnosis))     if(dt$diagnosis[i] == "a415"||dt$diagnosis[i] == "a419"||dt$diagnosis[i] == "b519"||dt$diagnosis[i] == "b589"||dt$diagnosis[i] == "t814")       dt$broader.condition[i] = "skull , face fractures"

way 2:

for(i in 1:length(dt$diagnosis))     if(dt$diagnosis[i] %in% c("a415","a419","b519","b589","t814"))       dt$broader.condition[i] = "skull , face fractures"

way 3 (note: akrun posted similar solution 4 minutes earlier posted message)

is.skull.fractured = dt$diagnosis %in% c("a415","a419","b519","b589","t814") dt$broader.condition[is.skull.fractured] = "skull , face fractures"

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