У меня есть один объект зоопарка, и я намерен преобразовать данные в data.frame.
#CODE
#ZOO OBJECT
class(DATA_1ab)
#[1] "zoo"
#CONVERTING INTO DATA FRAME
TEST1<-data.frame(coredata(DATA_1ab))
class(TEST1)
#[1] "data.frame"
#NEW DATA FRAME
TEST1
SALES REVENUE
1 369.1 119.4
4 595.2 123.4
9 675.2 144.7
13 383.7 498.8
18 184.2 647.1
23 279.4 145.1
После преобразования объекта зоопарка в data.frame у меня возникла другая проблема. А именно столбец перед (столбец ПРОДАЖ) имеет ненормальный график роста (например, 1,4,9,13,18,23 и т. Д.), Поэтому мой вопрос заключается в том, как это исправить и получить новый фрейм данных с нормальным графиком роста (например, 1,2, 3,4,5,6) как в таблице ниже? Я спрашиваю, потому что я хочу продолжить с этим data.frame в объект TS и так далее ...
SALES REVENUE
1 369.1 119.4
2 595.2 123.4
3 675.2 144.7
4 383.7 498.8
5 184.2 647.1
6 279.4 145.1
Пример данных с функцией dput для объекта zoo (DATA_1ab)
structure(c(369.1, 595.2, 675.2, 383.7, 184.2, 279.4, 266.9,
133.2, 419.7, 281.2, 276.5, 141.5, 298.2, 321.4, 298.1, 141.5,
.5,
119.4, 133, 405.4, 298.1, 57.8, 168.6, 435.3, 596, 136.6, 52.1,
151.9, 542.9, 151.4, 188.2, 35.6, 229.7, 517.7, -37.9, 94.9,
78.8, 658.9, 54.1, 156.8, 144.6, 649.4, 214.7, 379.6, 31.4), .Dim = c(157L,
2L), .Dimnames = list(c("1", "4", "9", "13", "18", "23", "28",
"33", "38", "43", "48", "53", "58", "63", "68", "73", "78", "82",
"86", "91", "96", "100", "105", "110", "114", "119", "124", "128",
"133", "138", "143", "147", "152", "157", "162", "167", "171",
"176", "181", "186", "191", "195", "200", "204", "209", "214",
"2016.02", "2016.03", "2016.04", "2016.05", "2016.06", "2016.07",
"2016.08", "2016.09", "2016.10", "2016.11", "2016.12", "2016.13",
"2016.14", "2016.15", "2016.16", "2016.17", "2016.18", "2016.19",
"2016.20", "2016.21", "2016.22", "2016.23", "2016.24", "2016.25",
"2016.26", "2016.27", "2016.28", "2016.29", "2016.30", "2016.31",
"2016.32", "2016.33", "2016.34", "2016.35", "2016.36", "2016.37",
"2016.38", "2016.39", "2016.40", "2016.41", "2016.42", "2016.43",
"2016.44", "2016.45", "2016.46", "2016.47", "2016.48", "2016.49",
"2016.50", "2016.51", "2016.52", "2017.01", "2017.02", "2017.03",
"2017.04", "2017.05", "2017.06", "2017.07", "2017.08", "2017.09",
"2017.10", "2017.11", "2017.12", "2017.13", "2017.14", "2017.15",
"2017.16", "2017.17", "2017.18", "2017.19", "2017.20", "2017.21",
"2017.22", "2017.23", "2017.24", "2017.25", "2017.26", "2017.27",
"2017.28", "2017.29", "2017.30", "2017.31", "2017.32", "2017.33",
"2017.34", "2017.35", "2017.36", "2017.37", "2017.38", "2017.39",
"2017.40", "2017.41", "2017.42", "2017.43", "2017.44", "2017.45",
"2017.46", "2017.47", "2017.48", "2017.49", "2017.50", "2017.51",
"2017.52", "2018.01", "2018.02", "2018.03", "2018.04", "2018.05",
"2018.06", "2018.07", "2018.08", "2018.09", "2018.10", "2018.11",
"2018.12", "2018.13", "2018.14", "2018.15", "2018.16", "2018.17",
"2018.18", "2018.19", "2018.20", "2018.21", "2018.22", "2018.23",
"2018.24", "2018.25", "2018.26", "2018.27", "2018.28", "2018.29",
"2018.30", "2018.31", "2018.32", "2018.33", "2018.34", "2018.35",
"2018.36", "2018.37", "2018.38", "2018.39", "2018.40", "2018.41",
"2018.42", "2018.43", "2018.44", "2018.45", "2018.46", "2018.47",
"2018.48", "2018.49", "2018.50", "2018.51", "2018.52", "2018.53"
), class = "zoo")
Ниже приведено преобразование в объект TS.
#CONVERTING INTO TS OBJECT
WEEKLY_TS_REVENUES<-ts(TEST1,start=c(2016,1),frequency = 52)
WEEKLY_TS_REVENUES
Time Series:
Start = c(2016, 1)
End = c(2019, 1)
Frequency = 52
SALES REVENUE
2016.000 369.1 119.4
2016.019 595.2 123.4
2016.038 675.2 144.7
2016.058 383.7 498.8
2016.077 184.2 647.1
2016.096 279.4 145.1
Первый столбец объекта ts все еще нерегулярен.