Merge pull request #30 from aaowens/fixdox

Fix warnings

src/process_codebook.jl

@@ -1,7 +1,7 @@
 AbstractTrees.children(x::AbstractXMLNode) = collect(child_elements(x));
 AbstractTrees.printnode(io::IO, x::AbstractXMLNode) = print(io, name(x));
 
-"Processes XML codebook tree into a usable JSON table"
+#Processes XML codebook tree into a usable JSON table
 function process_codebook()
     xdoc = parse_file("J265684_codebook.xml");
     r = root(xdoc);

src/use_codebook.jl

@@ -1,9 +1,9 @@
-"Transforms a string like \"This time in 1996\" to \"This time in YEAR\""
+#Transforms a string like \"This time in 1996\" to \"This time in YEAR\"
 function year2year(s)
     rtest = r"(19|20)\d{2}"
     replace(s, rtest => "YEAR")
 end
-"If x or y are supersets of each other, keep the superset. Otherwise OR them"
+#If x or y are supersets of each other, keep the superset. Otherwise OR them
 function checkerror(x, y)
     x, y = year2year(x), year2year(y)
     if x == y
@@ -19,15 +19,15 @@ end
 
 dropY(s) = parse(Int, match(r"(19|20)\d{2}", s).match)
 
-"Check if this label describes a missing value code"
+#Check if this label describes a missing value code
 function checkmissing(s)
     for r in (r"NA", r"DK", r"Inap.", r"Wild code", r"Missing")
         occursin(r, s) && return true
     end
     return false
 end
 
-"Check if this is a continuous variable"
+#Check if this is a continuous variable
 function iscontinuous(k)
     for key in k
         out = tryparse(Float64, key)
@@ -40,7 +40,7 @@ end
 
 dropcomma(s) = String([c for c in s if !(c == ',')])
 
-"Try to parse this value as a float"
+#Try to parse this value as a float
 function parse2(s, v)
     out = tryparse(Float64, dropcomma(s))
     # if this isn't a Float, maybe it was a range "-89.0 - -0.4"
@@ -54,15 +54,15 @@ function parse2(s, v)
 end
 narrowtypes(A) = [a for a in A]
 
-```
+"""
 Inputs:
 name: The variable ID we want to match
 var2ind_dict: The crosswalk table
 df_vars: The data
 codebook_df: The codebook table
 fastfind: Dict mapping from variable IDs to their index in the codebook
 Processes a variable ID, finds all years thats match, and collects the labels
-```
+"""
 function process_varname(name, var2ind_dict, df_vars, codebook_df, fastfind)
     ## Find the row in the crosswalk we can find this variable in
     myrow = var2ind_dict[name]
@@ -84,13 +84,13 @@ end
 
 
 
-```
+"""
 Sometimes the labels uses a comma in one year and a semicolon in another,
 but are otherwise identical.
 This function parses the different labels and drops these duplicates.
 It also keeps only labels which are unique after cleaning, and constructs
 a label which is a union of the parts (A OR B OR C)
-```
+"""
 function trimlabel(s)
     sp = strip.(split(s, "PSIDOR"))
     # find common substrings
@@ -120,11 +120,11 @@ function trimlabel(s)
         return reduce((x, y) -> "$x OR $y", newsp[2:end], init = newsp[1])
     end
 end
-```
+"""
 Processes input JSON file
 Reads the crosswalk and codebook table from disk and
 harmonizes the labels. Constructs the output JSON
-```
+"""
 function process_input(inputjson)
     @assert last(splitext(inputjson)) == ".json"
     codebook_json = jsontable(read("output/codebook.json", String));