Cannot check for panel data id on a tibble
Posted: 09 Apr 2021, 23:34
I wrote about this in another post that has yet to be moderated, but I can link to it there. There can be a problem identifying the length of unique ID's when the database object is an instance of class tibble. The error arises from this line in apollo_validateControls()
The result of df[, name] is actually a dataframe of one column, and not a vector. The correct code should be df[[name]], which pulls the column out as a vector. In base R data frames, the distinction is kind of abstract but still meaningful. In other contexts, it matters greatly. I believe this is a bug that should be fixed, and that probably happens in other contexts as well.
In the meantime, it is probably important to coerce input data frames out of tibble
Code: Select all
length(unique(database[, apollo_control$indivID])) < nrow(database)Code: Select all
> length(unique(database[[apollo_control$indivID]])) < nrow(database)
[1] FALSE
> length(unique(database[, apollo_control$indivID])) < nrow(database)
[1] TRUE
> database[,apollo_control$indivID]
# A tibble: 210 x 1
ID
<chr>
1 1
2 2
3 3
4 4
5 5
6 6
7 7
8 8
9 9
10 10
# … with 200 more rows
> database[[apollo_control$indivID]]
[1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" "13" "14" "15"
[16] "16" "17" "18" "19" "20" "21" "22" "23" "24" "25" "26" "27" "28" "29" "30"
[31] "31" "32" "33" "34" "35" "36" "37" "38" "39" "40" "41" "42" "43" "44" "45"
[46] "46" "47" "48" "49" "50" "51" "52" "53" "54" "55" "56" "57" "58" "59" "60"
[61] "61" "62" "63" "64" "65" "66" "67" "68" "69" "70" "71" "72" "73" "74" "75"
[76] "76" "77" "78" "79" "80" "81" "82" "83" "84" "85" "86" "87" "88" "89" "90"
[91] "91" "92" "93" "94" "95" "96" "97" "98" "99" "100" "101" "102" "103" "104" "105"
[106] "106" "107" "108" "109" "110" "111" "112" "113" "114" "115" "116" "117" "118" "119" "120"
[121] "121" "122" "123" "124" "125" "126" "127" "128" "129" "130" "131" "132" "133" "134" "135"
[136] "136" "137" "138" "139" "140" "141" "142" "143" "144" "145" "146" "147" "148" "149" "150"
[151] "151" "152" "153" "154" "155" "156" "157" "158" "159" "160" "161" "162" "163" "164" "165"
[166] "166" "167" "168" "169" "170" "171" "172" "173" "174" "175" "176" "177" "178" "179" "180"
[181] "181" "182" "183" "184" "185" "186" "187" "188" "189" "190" "191" "192" "193" "194" "195"
[196] "196" "197" "198" "199" "200" "201" "202" "203" "204" "205" "206" "207" "208" "209" "210"