1
我有一個365天的數據集,分別包含一個溫度值。 我想分析包含正溫度和含有負溫度的時段的天數。所以我想計算一段時間的天數,直到溫度突破0爲止。我已經設置了一個跟蹤代數符號的列,但是現在我想添加另一列來跟蹤積極的日子和負數的日子,這樣我可以GROUP_BY各個時期和計算的消費,最小值,最大值等 平均我目前不知道如何得出的結果在一個情節,但也許你有一個想法..R計數正負數並按數據框中的時間段分組
Time Consumption STABW_hour Min Max mean DeltaDaymean Sign
<dttm> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 2014-01-01 1053.5 76.56046 964 1597.5 1159.804 -106.30411 -1
2 2014-01-02 1197.5 76.56046 964 1597.5 1159.804 37.69589 1
3 2014-01-03 1245.5 76.56046 964 1597.5 1159.804 85.69589 1
4 2014-01-04 1147.5 76.56046 964 1597.5 1159.804 -12.30411 -1
5 2014-01-05 1194.0 76.56046 964 1597.5 1159.804 34.19589 1
6 2014-01-06 1171.5 76.56046 964 1597.5 1159.804 11.69589 1
7 2014-01-07 1166.5 76.56046 964 1597.5 1159.804 6.69589 1
8 2014-01-08 1135.0 76.56046 964 1597.5 1159.804 -24.80411 -1
9 2014-01-09 1168.0 76.56046 964 1597.5 1159.804 8.19589 1
10 2014-01-10 1181.5 76.56046 964 1597.5 1159.804 21.69589 1
結果應該是這樣的,那麼我就可以通過新的列GROUP_BY數據..
Time Consumption STABW_hour Min Max mean DeltaDaymean Sign Period
<dttm> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 2014-01-01 1053.5 76.56046 964 1597.5 1159.804 -106.30411 -1 1
2 2014-01-02 1197.5 76.56046 964 1597.5 1159.804 37.69589 1 2
3 2014-01-03 1245.5 76.56046 964 1597.5 1159.804 85.69589 1 2
4 2014-01-04 1147.5 76.56046 964 1597.5 1159.804 -12.30411 -1 3
5 2014-01-05 1194.0 76.56046 964 1597.5 1159.804 34.19589 1 4
6 2014-01-06 1171.5 76.56046 964 1597.5 1159.804 11.69589 1 4
7 2014-01-07 1166.5 76.56046 964 1597.5 1159.804 6.69589 1 4
8 2014-01-08 1135.0 76.56046 964 1597.5 1159.804 -24.80411 -1 5
9 2014-01-09 1168.0 76.56046 964 1597.5 1159.804 8.19589 1 6
10 2014-01-10 1181.5 76.56046 964 1597.5 1159.804 21.69589 1 6
謝謝非常!
'cumsum(C(TRUE,DIFF(DF $標誌)!= 0))' – Cath
謝謝。是的,它是一個重複的,但我不知道谷歌正確的熱,以找到正確的解決方案。 –