Converts variable types of multiple columns of a dataframe at once.
Details
Converts variable types of multiple columns of a dataframe at once. Convert variable types to character, numeric, or factor.
See also
Other dataManipulation:
columnBindFill(),
dropColsWithAllNA(),
dropRowsWithAllNA(),
varsDifferentTypes()
Other conversion:
convertHoursAMPM(),
convertToHours(),
convertToMinutes(),
convertToSeconds(),
percentileToTScore(),
pom()
Examples
# Prepare Data
data("USArrests")
# Convert variables to character
convert.magic(USArrests, "character")
#> Murder Assault UrbanPop Rape
#> 1 13.2 236 58 21.2
#> 2 10 263 48 44.5
#> 3 8.1 294 80 31
#> 4 8.8 190 50 19.5
#> 5 9 276 91 40.6
#> 6 7.9 204 78 38.7
#> 7 3.3 110 77 11.1
#> 8 5.9 238 72 15.8
#> 9 15.4 335 80 31.9
#> 10 17.4 211 60 25.8
#> 11 5.3 46 83 20.2
#> 12 2.6 120 54 14.2
#> 13 10.4 249 83 24
#> 14 7.2 113 65 21
#> 15 2.2 56 57 11.3
#> 16 6 115 66 18
#> 17 9.7 109 52 16.3
#> 18 15.4 249 66 22.2
#> 19 2.1 83 51 7.8
#> 20 11.3 300 67 27.8
#> 21 4.4 149 85 16.3
#> 22 12.1 255 74 35.1
#> 23 2.7 72 66 14.9
#> 24 16.1 259 44 17.1
#> 25 9 178 70 28.2
#> 26 6 109 53 16.4
#> 27 4.3 102 62 16.5
#> 28 12.2 252 81 46
#> 29 2.1 57 56 9.5
#> 30 7.4 159 89 18.8
#> 31 11.4 285 70 32.1
#> 32 11.1 254 86 26.1
#> 33 13 337 45 16.1
#> 34 0.8 45 44 7.3
#> 35 7.3 120 75 21.4
#> 36 6.6 151 68 20
#> 37 4.9 159 67 29.3
#> 38 6.3 106 72 14.9
#> 39 3.4 174 87 8.3
#> 40 14.4 279 48 22.5
#> 41 3.8 86 45 12.8
#> 42 13.2 188 59 26.9
#> 43 12.7 201 80 25.5
#> 44 3.2 120 80 22.9
#> 45 2.2 48 32 11.2
#> 46 8.5 156 63 20.7
#> 47 4 145 73 26.2
#> 48 5.7 81 39 9.3
#> 49 2.6 53 66 10.8
#> 50 6.8 161 60 15.6
