I have the year column from 1921 to 2020. I want to make an analysis based on the decades, so I want to subset the data frame into decades. I tried couple of codes but they keep giving errors.
decade1=data_all%>%filter(data_all$year%>%1920:1929)
Error: Problem with
filter()
input..1
. x 3 arguments passed to ':' which requires 2 ℹ Input..1
isdata_all$year %>% 1920:1929
. Runrlang::last_error()
to see where the error occurred.
decade1=data_all%>%filter(data_all$year==1920:1929)
Warning message: In data_all$year == 1920:1929: longer object length is not a multiple of shorter object length
What code should I be using?
We can change the syntax to %in%
within filter
library(dplyr)
data_all%>%
filter(year %in% 1920:1929)
It may help to group the years first.
df <- data.frame(
year = sample(1920:2020,50,replace = TRUE)
)
df %>%
mutate( decade = cut(df$year, breaks=c(1910,1919,1929,1939,1949,1959,1969,1979,1989,1999,2009,2019,2029),
labels=c("1910s","1920s","1930s","1940s","1950s","1960s","1970s","1980s","1990s","2000s","2010s","2020s"))) %>%
arrange(year)
my solution of the exercise was (quite similar to yours):
decades <- seq(1890,2010, by=10)
data$decade <- as.factor(data$Year %/% 10 * 10)
print(data$decade)
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