У меня есть следующий фрейм данных:
df =structure(list(Country = c("DE", "DE", "DE", "DE", "DE", "DE",
"DE", "DE", "DE", "DE", "DE", "DE", "DE", "DE", "DE", "DE", "DE",
"DE", "DE", "DE", "DE", "ES", "ES", "ES", "ES", "ES", "ES", "ES",
"ES", "ES", "ES", "ES", "ES", "ES", "ES", "ES", "ES", "FR", "FR",
"FR", "FR", "FR", "FR", "FR", "FR", "FR", "FR", "FR", "FR", "FR",
"FR", "FR", "FR", "FR", "FR", "FR", "FR", "FR", "IT", "IT", "IT",
"IT", "IT", "IT", "IT", "IT", "IT", "IT", "IT", "IT", "IT", "IT",
"IT", "IT", "IT", "IT", "IT", "IT", "IT"), Date = c(2002, 2003,
2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014,
2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2002, 2003, 2004,
2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2018, 2019, 2020,
2021, 2022, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010,
2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021,
2022, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011,
2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022
), N = c(10L, 9L, 13L, 14L, 12L, 11L, 16L, 10L, 10L, 13L, 13L,
28L, 12L, 13L, 16L, 27L, 19L, 14L, 36L, 29L, 7L, 11L, 14L, 6L,
12L, 16L, 10L, 12L, 14L, 10L, 17L, 4L, 12L, 31L, 26L, 14L, 4L,
3L, 6L, 44L, 41L, 32L, 49L, 59L, 50L, 64L, 58L, 26L, 36L, 37L,
32L, 38L, 35L, 36L, 37L, 35L, 34L, 12L, 11L, 3L, 10L, 5L, 11L,
18L, 17L, 20L, 22L, 30L, 31L, 33L, 28L, 30L, 28L, 24L, 18L, 15L,
23L, 21L, 6L)), class = c("grouped_df", "tbl_df", "tbl", "data.frame"
), row.names = c(NA, -79L), groups = structure(list(Country = c("DE",
"DE", "DE", "DE", "DE", "DE", "DE", "DE", "DE", "DE", "DE", "DE",
"DE", "DE", "DE", "DE", "DE", "DE", "DE", "DE", "DE", "ES", "ES",
"ES", "ES", "ES", "ES", "ES", "ES", "ES", "ES", "ES", "ES", "ES",
"ES", "ES", "ES", "FR", "FR", "FR", "FR", "FR", "FR", "FR", "FR",
"FR", "FR", "FR", "FR", "FR", "FR", "FR", "FR", "FR", "FR", "FR",
"FR", "FR", "IT", "IT", "IT", "IT", "IT", "IT", "IT", "IT", "IT",
"IT", "IT", "IT", "IT", "IT", "IT", "IT", "IT", "IT", "IT", "IT",
"IT"), Date = c(2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009,
2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020,
2021, 2022, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010,
2011, 2012, 2018, 2019, 2020, 2021, 2022, 2002, 2003, 2004, 2005,
2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016,
2017, 2018, 2019, 2020, 2021, 2022, 2002, 2003, 2004, 2005, 2006,
2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017,
2018, 2019, 2020, 2021, 2022), .rows = structure(list(1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L,
16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L,
28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L,
40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 48L, 49L, 50L, 51L,
52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L,
64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L,
76L, 77L, 78L, 79L), ptype = integer(0), class = c("vctrs_list_of",
"vctrs_vctr", "list"))), row.names = c(NA, -79L), class = c("tbl_df",
"tbl", "data.frame"), .drop = TRUE))
Я хотел бы получить следующие результаты (где n означает числа):
Year IT DE ES FR
2002 n n n n
2003 n n n n
2004 n n n n
2005 n n n n
2006 n n n n
.
.
.
2022 n n n n
Я пытался использовать pivot_longer
следующим образом (и много других неудачных попыток):
df %>% pivot_longer(Date, names_to = ".value", values_to = ".value")
Кто-нибудь может мне с этим помочь?
names_from()
должен быть столбцами, которые вы хотите, а values_from()
должен быть связанными значениями столбца:
df %>% pivot_wider(names_from = "Country", values_from = "N")
# A tibble: 21 × 5
# Groups: Date [21]
Date DE ES FR IT
<dbl> <int> <int> <int> <int>
1 2002 10 11 3 11
2 2003 9 14 6 3
3 2004 13 6 44 10
4 2005 14 12 41 5
5 2006 12 16 32 11
6 2007 11 10 49 18
7 2008 16 12 59 17
8 2009 10 14 50 20
9 2010 10 10 64 22
10 2011 13 17 58 30
# … with 11 more rows