子集觀察(行)

dplyr::filter() - 選擇符合邏輯條件的資料框中的行子集:

dplyr::filter(iris,Sepal.Length>7)
#       Sepal.Length Sepal.Width Petal.Length Petal.Width   Species
#    1           7.1         3.0          5.9         2.1 virginica
#    2           7.6         3.0          6.6         2.1 virginica
#    3           7.3         2.9          6.3         1.8 virginica
#    4           7.2         3.6          6.1         2.5 virginica
#    5           7.7         3.8          6.7         2.2 virginica
#    6           7.7         2.6          6.9         2.3 virginica
#    7           7.7         2.8          6.7         2.0 virginica
#    8           7.2         3.2          6.0         1.8 virginica
#    9           7.2         3.0          5.8         1.6 virginica
#    10          7.4         2.8          6.1         1.9 virginica
#    11          7.9         3.8          6.4         2.0 virginica
#    12          7.7         3.0          6.1         2.3 virginica

dplyr::distinct() - 刪除重複的行:

distinct(iris, Sepal.Length, .keep_all = TRUE)
#       Sepal.Length Sepal.Width Petal.Length Petal.Width    Species
#    1           5.1         3.5          1.4         0.2     setosa
#    2           4.9         3.0          1.4         0.2     setosa
#    3           4.7         3.2          1.3         0.2     setosa
#    4           4.6         3.1          1.5         0.2     setosa
#    5           5.0         3.6          1.4         0.2     setosa
#    6           5.4         3.9          1.7         0.4     setosa
#    7           4.4         2.9          1.4         0.2     setosa
#    8           4.8         3.4          1.6         0.2     setosa
#    9           4.3         3.0          1.1         0.1     setosa
#   10          5.8         4.0          1.2         0.2     setosa
#   11          5.7         4.4          1.5         0.4     setosa
#   12          5.2         3.5          1.5         0.2     setosa
#   13          5.5         4.2          1.4         0.2     setosa
#   14          4.5         2.3          1.3         0.3     setosa
#   15          5.3         3.7          1.5         0.2     setosa
#   16          7.0         3.2          4.7         1.4 versicolor
#   17          6.4         3.2          4.5         1.5 versicolor
#   18          6.9         3.1          4.9         1.5 versicolor
#   19          6.5         2.8          4.6         1.5 versicolor
#   20          6.3         3.3          4.7         1.6 versicolor
#   21          6.6         2.9          4.6         1.3 versicolor
#   22          5.9         3.0          4.2         1.5 versicolor
#   23          6.0         2.2          4.0         1.0 versicolor
#   24          6.1         2.9          4.7         1.4 versicolor
#   25          5.6         2.9          3.6         1.3 versicolor
#   26          6.7         3.1          4.4         1.4 versicolor
#   27          6.2         2.2          4.5         1.5 versicolor
#   28          6.8         2.8          4.8         1.4 versicolor
#   29          7.1         3.0          5.9         2.1  virginica
#   30          7.6         3.0          6.6         2.1  virginica
#   31          7.3         2.9          6.3         1.8  virginica
#   32          7.2         3.6          6.1         2.5  virginica
#   33          7.7         3.8          6.7         2.2  virginica
#   34          7.4         2.8          6.1         1.9  virginica
#   35          7.9         3.8          6.4         2.0  virginica