Reputation: 3
I have a data set with 4 columns, 2 of which are numeric, 1 is categorical and 1 is the label. The label has 13 levels (A to M). I tried to use knncat package in R to do classification, but every time I ran the code, I got the following error message:
Error in `[<-.data.frame`(`*tmp*`, factor.vars, value = c("M", "J", "K", :
replacement has 45500 rows, data has 1
The following is the code I used:
data <- read.csv('mosaic_data2.csv', header = T)
num <- dim(data)[1]
library(sampling)
set.seed(1234)
train_index <- sample(seq(1,num,1), floor(num * 0.7), replace = F)
test_index <- setdiff(seq(1,num,1), train_index)
train_data <- data[train_index,]
test_data <- data[test_index,]
library(knncat)
model <- knncat(train_data, classcol = 2)
Could anyone please take a look at the code and advise how I could eliminate this bug? Thank you very much!
The output of dput(head(data,100)) is as follows:
structure(list(latitude = c(52.7326028, 52.74287543, 52.82107841,
52.82025363, 52.81980596, 52.81721897, 52.81274172, 52.81274172,
52.8089586, 52.81424219, 52.8089586, 52.74007929, 52.77394023,
52.73659034, 52.73672518, 52.73764626, 52.73753744, 52.73659034,
52.73815233, 52.73679388, 52.73890319, 52.71697237, 52.63730282,
52.62720385, 52.63730282, 52.63543017, 52.63768035, 52.63510366,
52.6346578, 52.6346578, 52.6346578, 52.63447454, 52.63576418,
52.63447454, 52.6346578, 52.63447454, 52.69820719, 52.69603926,
52.68246919, 52.54600173, 52.54210198, 52.60628983, 52.61003275,
52.60278236, 52.60239604, 52.60348688, 52.60239604, 52.60382146,
52.60315644, 52.86047938, 52.86576353, 52.86954228, 52.81039471,
52.82094872, 52.82395073, 52.82444705, 52.88098384, 52.88469208,
52.88469208, 52.84979201, 52.84720159, 52.84831759, 52.82435938,
52.82319493, 52.82168337, 52.8230402, 52.8230402, 52.82513486,
52.82472379, 52.82756385, 52.82475438, 52.82434902, 52.82166611,
52.823712, 52.82401481, 52.82483489, 52.82103704, 52.82060763,
52.8208682, 52.82211317, 52.81868547, 52.8198332, 52.82023595,
52.81989134, 52.8196971, 52.82051066, 52.82463338, 52.82539131,
52.82580625, 52.82509199, 52.83759415, 52.83946254, 52.83946254,
52.83891871, 52.83821538, 52.84757879, 52.84663773, 52.8449371,
52.84592185, 52.84331619), longitude = c(-6.892397941, -6.915346343,
-6.922554014, -6.924997835, -6.926099967, -6.883340697, -6.897757597,
-6.897757597, -6.895500952, -6.883129556, -6.895500952, -6.703781864,
-6.680851783, -6.771845364, -6.773301282, -6.772958488, -6.77484647,
-6.771845364, -6.773422218, -6.772164896, -6.770622695, -6.784187251,
-6.901922588, -6.905109015, -6.901922588, -6.976679508, -6.973114498,
-6.974753462, -6.947990431, -6.947990431, -6.947990431, -6.976921427,
-6.958295227, -6.976921427, -6.947990431, -6.976921427, -6.902010609,
-6.915233457, -6.871160885, -6.832461149, -6.862126342, -6.943925285,
-6.93813643, -6.925128034, -6.932247524, -6.93461305, -6.932247524,
-6.934657053, -6.929283954, -6.845259603, -6.861188287, -6.866476268,
-6.940851164, -6.939203401, -6.930506188, -6.933317462, -6.929441954,
-6.922589037, -6.922589037, -6.926037258, -6.929423169, -6.917829279,
-6.938211918, -6.940658091, -6.940651748, -6.940107883, -6.940107883,
-6.938704642, -6.939084526, -6.933331264, -6.937496468, -6.937678962,
-6.940276221, -6.94018054, -6.939876475, -6.938983181, -6.934235666,
-6.93387209, -6.933134226, -6.934193569, -6.934383596, -6.933832641,
-6.937454656, -6.933818238, -6.93443811, -6.936913947, -6.920030341,
-6.920400963, -6.92215006, -6.910771124, -6.901500591, -6.899018998,
-6.899018998, -6.903007684, -6.90119821, -6.91063672, -6.909935672,
-6.90240965, -6.900066763, -6.901411136), mosaic_group = structure(c(10L,
10L, 8L, 8L, 8L, 7L, 7L, 7L, 7L, 7L, 7L, 10L, 10L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L,
12L, 12L, 12L, 12L, 12L, 12L, 10L, 10L, 10L, 13L, 13L, 13L, 13L,
9L, 6L, 6L, 6L, 6L, 6L, 10L, 8L, 8L, 9L, 9L, 9L, 9L, 7L, 7L,
7L, 9L, 9L, 9L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 8L, 8L, 8L, 8L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 8L,
6L, 6L, 6L, 6L, 6L, 8L, 8L, 10L, 10L, 10L), .Label = c("A", "B",
"C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M"), class = "factor"),
small_code = c(1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L,
4L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 8L, 8L, 8L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 11L,
11L, 12L, 12L, 13L, 14L, 14L, 14L, 14L, 14L, 15L, 16L, 16L,
17L, 17L, 18L, 18L, 19L, 19L, 19L, 20L, 20L, 20L, 21L, 21L,
21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L,
22L, 22L, 22L, 22L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L,
24L, 25L, 26L, 26L, 26L, 26L, 26L, 27L, 27L, 28L, 28L, 28L
)), .Names = c("latitude", "longitude", "mosaic_group", "small_code"
), row.names = c(NA, 100L), class = "data.frame")
Upvotes: 0
Views: 1335
Reputation: 6913
The function knncat::knncat
accepts the argument classcol
which is defined as:
Column with classification in it. Default: 1.
You have a data set with structure:
latitude longitude mosaic_group small_code
1 52.73260 -6.892398 J 1
2 52.74288 -6.915346 J 1
3 52.82108 -6.922554 H 2
4 52.82025 -6.924998 H 2
5 52.81981 -6.926100 H 2
6 52.81722 -6.883341 G 3
Therefore your argument should be classcol = 3
(or 4) I am assuming, but we can see that it certainly shouldn't be classcol = 2
.
Upvotes: 1