Hello,
According to the help page for ?labels, for a data.frame it's simply the
dimnames, meaning, the row names (your numbers) and the column names.
Note that read.csv returns a data.frame, not a matrix, and data frames
allways have row names, typically numbers.
I wouldn't worry about it.
Hope this helps,
Rui Barradas
Em 09-01-2014 18:29, Jeff Johnson escreveu:
Hi, I'm having a problem with my labels.
I am reading in a data file:
df <- read.csv(file = 'batch1extract_100k_sample.csv')
However, it's producing two sets of labels:
labels(df)
[[1]]
[1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" "13" "14"
"15" "16" "17" "18" "19" "20" "21"
[22] "22" "23" "24" "25" "26" "27" "28" "29" "30" "31" "32" "33" "34" "35"
"36" "37" "38" "39" "40" "41" "42"
[43] "43" "44" "45" "46" "47" "48" "49" "50" "51" "52" "53" "54" "55" "56"
"57" "58" "59" "60" "61" "62" "63"
[64] "64" "65" "66" "67" "68" "69" "70" "71" "72" "73" "74" "75" "76" "77"
"78" "79" "80" "81" "82" "83" "84"
[85] "85" "86" "87" "88" "89" "90" "91" "92" "93" "94" "95" "96" "97" "98"
"99"
[[2]]
[1] "PERSONPROFILE_POS" "PARTY_ID"
"PERSON_FIRST_NAME"
[4] "PERSON_LAST_NAME" "PERSON_MIDDLE_NAME" "PARTY_NUMBER"
[7] "ACCOUNT_NUMBER" "ABILITEC_LINK" "ADDRESS1"
[10] "ADDRESS2" "ADDRESS3" "ADDRESS4"
[13] "CITY" "COUNTY" "STATE"
[16] "PROVINCE" "POSTAL_CODE" "COUNTRY"
[19] "PRIMARY_PER_TYPE" "SELLTOADDR_LOS" "LOCATION_ID"
[22] "SELLTOADDR_SOS" "PARTY_SITE_ID"
"PRIMARYPHONE_CPOS"
[25] "CONTACT_POINT_ID_PCP" "CONTACT_POINT_PURPOSE_PCP"
"PHONE_LINE_TYPE"
[28] "PRIMARY_FLAG_PCP" "PHONE_COUNTRY_CODE"
"PHONE_AREA_CODE"
[31] "PHONE_NUMBER" "EMAIL_CPOS"
"CONTACT_POINT_ID_ECP"
[34] "CONTACT_POINT_PURPOSE_ECP" "PRIMARY_FLAG_ECP"
"EMAIL_ADDRESS"
[37] "BB_PARTY_ID"
Notice I get 2 rows for the labels: the first row is a list of numbers
(which does not appear in my dataset) and the second row which are my
actual labels.
I have no idea why it's returning all of the numbers in the labels command.
They're definitely not there in the input file. Any suggestions?
Thank you!
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