You are not getting the structure you want because the indexes are
wrong. They should be something more like this:
i <- 0
for (row in 1:nrow(alajuela_df)){
for (col in 1:ncol(alajuela_df)){
i <- i + 1
df[i,1]=alajuela_df[row,col]
}
}
but I think what you are doing can be written much shorter and will run
faster:
## transpose here matches your original code
df <- data.frame(aportes_alajuela = c(t(alajuela_df)))
## but if you do not want to transpose, then do this
df <- data.frame(aportes_alajuela = unlist(alajuela_df, use.names = FALSE))
However, you said you expected 1509 observations, but this gives you
1512 observations. If you want to exclude the 3 NA observations, do
something like:
df <- df[!is.na(df$aportes_alajuela), , drop = FALSE]
On Fri, Oct 27, 2023 at 11:14?PM Paul Bernal <paulbernal07 at gmail.com>
wrote:
Dear friends,
I have the following dataframe:
dim(alajuela_df)
[1] 126 12
dput(alajuela_df)
structure(list(...1 = c(92.9925354, 76.0024254, 44.99547465,
28.00536465, 120.0068103, 31.9980405, 85.0071837, 40.1532933,
19.3120917, 113.12581575, 28.45843425, 114.400074, 143.0000925,
46.439634, 20.7845679, 50.82874575, 36.9818061, 44.6273556, 40.57804605,
30.38398005, 47.94042705, 36.38715225, 28.06199835, 28.4867511,
122.86681215, 56.4071652, 35.9057658, 52.669341, 24.94714485,
54.4249857, 61.164396, 47.88379335, 30.582198, 26.051502, 43.041612,
64.59073485, 51.6499344, 78.8202902886201, 35.2390173175627,
82.2394568898745, 47.760850180466, 54.3654763342294, 49.4878058854839,
32.8813266149642, 38.9301880693548, 51.9506275455197, 55.4404001992832,
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32.8647492475806, 42.8926863444444, 63.9814428257048, 39.219040238172,
88.7557324417563, 42.0964144925627, 129.15973304991, 117.872998635484,
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40.219162961828, 35.901029409319, 85.2814714674731, 26.5821299974014,
33.0141992892473, 52.4006692386201, 62.7450310643369, 33.3732853655914,
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43.4197954932283, 107.258904254306, 23.7548470509806, 48.4457090643702,
72.3249287581108, 32.7272590911596, 48.6115621286089), ...2 =
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109.87928815051, 85.3031155445198, 58.5462485275265, NA)), row.names =
c(NA,
-126L), class = "data.frame")
What I want to do is, instead of having 12 observations by row, I want
have one observation by row. I want to have a single column with 1509
observations instead of 126 rows with 12 columns per row.
I tried the following:
df = data.frame(matrix(nrow = Length, ncol = 1))
colnames(df) = c("aportes_alajuela")
for (row in 1:nrow(alajuela_df)){
for (col in 1:ncol(alajuela_df)){
df[i,1]=alajuela_df[i,j]
}
}
But I am not getting the data in the structure I want.
Any help will be greatly appreciated.
Best regards,
Paul
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