The output of data %>% select(Year, Type) %>% table() give me:
Year Type Freq
2001 A 5
2002 A 2
2003 A 9
... ... ...
2001 B 21
2002 B 22
2003 B 19
How I would like my data:
Year A B C D E
2001 5 21 .. .. ..
2002 2 22 .. .. ..
2003 9 19 .. .. ..
...
How can I achieve this? The examples I find don't seem to match my case
A base R option using reshape
reshape(
df,
direction = "wide",
idvar = "Year",
timevar = "Type"
)
gives
Year Freq.A Freq.B
1 2001 5 21
2 2002 2 22
3 2003 9 19
A data.table option
dcast(setDT(df), Year ~ Type)
gives
Year A B
1: 2001 5 21
2: 2002 2 22
3: 2003 9 19
A dplyr option
df %>%
pivot_wider(names_from = Type, values_from = Freq)
gives
# A tibble: 3 x 3
Year A B
<int> <int> <int>
1 2001 5 21
2 2002 2 22
3 2003 9 19
Data
> dput(df)
structure(list(Year = c(2001L, 2002L, 2003L, 2001L, 2002L, 2003L
), Type = c("A", "A", "A", "B", "B", "B"), Freq = c(5L, 2L, 9L,
21L, 22L, 19L)), class = "data.frame", row.names = c(NA, -6L))