DGS1MO DGS3MO DGS1 DGS2 DGS3 DGS5 DGS7 DGS10 DGS20 DGS30
2001-07-31 3.67 3.54 3.53 3.79 4.06 4.57 4.86 5.07 5.61 5.51
2001-08-01 3.65 3.53 3.56 3.83 4.09 4.62 4.90 5.11 5.63 5.53
2001-08-02 3.65 3.53 3.57 3.89 4.17 4.69 4.97 5.17 5.68 5.57
2001-08-03 3.63 3.52 3.57 3.91 4.22 4.72 4.99 5.20 5.70 5.59
2001-08-06 3.62 3.52 3.56 3.88 4.17 4.71 4.99 5.19 5.70 5.59
2001-08-07 3.63 3.52 3.56 3.90 4.19 4.72 5.00 5.20 5.71 5.60
2001-08-08 3.61 3.49 3.46 3.77 4.05 4.61 4.87 4.99 5.61 5.52
2001-08-09 3.61 3.45 3.48 3.77 4.07 4.66 4.93 5.04 5.64 5.54
2001-08-10 3.58 3.43 3.45 3.73 4.03 4.61 4.88 4.99 5.61 5.52
2001-08-13 3.57 3.45 3.43 3.70 4.00 4.57 4.86 4.97 5.60 5.52
2001-08-14 3.54 3.43 3.46 3.74 4.03 4.59 4.87 4.97 5.61 5.51
2001-08-15 3.52 3.43 3.47 3.80 4.11 4.62 4.90 5.00 5.62 5.52
2001-08-16 3.48 3.39 3.43 3.75 4.04 4.58 4.84 4.95 5.58 5.48
2001-08-17 3.46 3.36 3.39 3.67 3.95 4.49 4.75 4.84 5.51 5.43
2001-08-20 3.48 3.42 3.44 3.74 4.02 4.55 4.81 4.91 5.55 5.46
2001-08-21 3.46 3.39 3.41 3.69 3.96 4.50 4.79 4.87 5.54 5.44
2001-08-22 3.46 3.38 3.44 3.76 4.03 4.53 4.81 4.91 5.53 5.44
2001-08-23 3.49 3.40 3.46 3.72 3.99 4.52 4.79 4.89 5.50 5.41
2001-08-24 3.49 3.42 3.48 3.76 4.03 4.55 4.82 4.93 5.54 5.45
2001-08-27 3.52 3.45 3.51 3.78 4.04 4.57 4.83 4.94 5.56 5.47
2001-08-28 3.53 3.41 3.46 3.71 3.97 4.48 4.73 4.85 5.49 5.41
2001-08-29 3.48 3.42 3.44 3.67 3.92 4.43 4.67 4.78 5.44 5.36
2001-08-30 3.41 3.36 3.38 3.61 3.88 4.42 4.68 4.79 5.45 5.37
2001-08-31 3.40 3.37 3.41 3.64 3.91 4.46 4.72 4.85 5.47 5.39
2001-09-04 3.43 3.44 3.55 3.83 4.10 4.63 4.88 4.99 5.59 5.50
2001-09-05 3.49 3.41 3.47 3.79 4.07 4.61 4.86 4.97 5.57 5.48
2001-09-06 3.44 3.34 3.40 3.65 3.93 4.48 4.73 4.86 5.50 5.41
2001-09-07 3.40 3.27 3.29 3.53 3.82 4.39 4.67 4.80 5.45 5.39
2001-09-10 3.40 3.26 3.31 3.53 3.82 4.41 4.69 4.84 5.50 5.43
2001-09-13 2.73 2.74 2.81 2.99 3.32 4.03 4.41 4.64 5.41 5.39
2001-09-14 2.54 2.64 2.73 2.87 3.17 3.92 4.31 4.57 5.38 5.35
2001-09-17 2.47 2.59 2.72 2.96 3.30 3.99 4.38 4.63 5.44 5.41
2001-09-18 2.34 2.48 2.69 2.96 3.31 4.01 4.46 4.72 5.59 5.55
2001-09-19 2.00 2.19 2.49 2.81 3.18 3.90 4.41 4.69 5.59 5.56
2001-09-20 2.04 2.22 2.56 2.91 3.27 3.97 4.47 4.75 5.67 5.62
2001-09-21 2.12 2.25 2.53 2.91 3.27 3.94 4.43 4.70 5.62 5.59
2001-09-24 2.38 2.38 2.56 2.94 3.30 4.00 4.47 4.73 5.61 5.58
2001-09-25 2.58 2.40 2.51 2.88 3.25 3.97 4.45 4.72 5.60 5.58
2001-09-26 2.51 2.38 2.48 2.82 3.18 3.91 4.39 4.65 5.52 5.50
2001-09-27 2.34 2.38 2.43 2.78 3.15 3.87 4.33 4.58 5.46 5.45
2001-09-28 2.28 2.40 2.49 2.86 3.22 3.93 4.37 4.60 5.45 5.42
2001-10-01 2.26 2.37 2.47 2.82 3.18 3.90 4.33 4.55 5.39 5.38
2001-10-02 2.27 2.26 2.43 2.77 3.14 3.87 4.31 4.53 5.36 5.34
2001-10-03 2.21 2.23 2.38 2.77 3.14 3.86 4.29 4.50 5.34 5.32
2001-10-04 2.22 2.21 2.37 2.75 3.14 3.88 4.29 4.53 5.33 5.31
2001-10-05 2.21 2.19 2.33 2.71 3.10 3.87 4.26 4.52 5.34 5.31
2001-10-09 2.24 2.22 2.35 2.74 3.16 3.96 4.35 4.62 5.42 5.39
Above I have my dataset that I am trying to subset. My goals is to subset the df to only include the last day of each month listed. For example 8/31/2021,9/27/2021...etc onward through the data. I have been able to do specific dates but I need something that is dynamic. Thanks in advance
CodePudding user response：
With lubridate:
library(lubridate)
df$DAY <- as.Date(df$DAY)
df[df$DAY == ceiling_date(df$DAY,'month') - days(1),]
DAY DGS1MO DGS3MO DGS1 DGS2 DGS3 DGS5 DGS7 DGS10 DGS20 DGS30
1 2001-07-31 3.67 3.54 3.53 3.79 4.06 4.57 4.86 5.07 5.61 5.51
24 2001-08-31 3.40 3.37 3.41 3.64 3.91 4.46 4.72 4.85 5.47 5.39
df:
df <- read.table(text='
DAY DGS1MO DGS3MO DGS1 DGS2 DGS3 DGS5 DGS7 DGS10 DGS20 DGS30
2001-07-31 3.67 3.54 3.53 3.79 4.06 4.57 4.86 5.07 5.61 5.51
2001-08-01 3.65 3.53 3.56 3.83 4.09 4.62 4.90 5.11 5.63 5.53
2001-08-02 3.65 3.53 3.57 3.89 4.17 4.69 4.97 5.17 5.68 5.57
2001-08-03 3.63 3.52 3.57 3.91 4.22 4.72 4.99 5.20 5.70 5.59
2001-08-06 3.62 3.52 3.56 3.88 4.17 4.71 4.99 5.19 5.70 5.59
2001-08-07 3.63 3.52 3.56 3.90 4.19 4.72 5.00 5.20 5.71 5.60
2001-08-08 3.61 3.49 3.46 3.77 4.05 4.61 4.87 4.99 5.61 5.52
2001-08-09 3.61 3.45 3.48 3.77 4.07 4.66 4.93 5.04 5.64 5.54
2001-08-10 3.58 3.43 3.45 3.73 4.03 4.61 4.88 4.99 5.61 5.52
2001-08-13 3.57 3.45 3.43 3.70 4.00 4.57 4.86 4.97 5.60 5.52
2001-08-14 3.54 3.43 3.46 3.74 4.03 4.59 4.87 4.97 5.61 5.51
2001-08-15 3.52 3.43 3.47 3.80 4.11 4.62 4.90 5.00 5.62 5.52
2001-08-16 3.48 3.39 3.43 3.75 4.04 4.58 4.84 4.95 5.58 5.48
2001-08-17 3.46 3.36 3.39 3.67 3.95 4.49 4.75 4.84 5.51 5.43
2001-08-20 3.48 3.42 3.44 3.74 4.02 4.55 4.81 4.91 5.55 5.46
2001-08-21 3.46 3.39 3.41 3.69 3.96 4.50 4.79 4.87 5.54 5.44
2001-08-22 3.46 3.38 3.44 3.76 4.03 4.53 4.81 4.91 5.53 5.44
2001-08-23 3.49 3.40 3.46 3.72 3.99 4.52 4.79 4.89 5.50 5.41
2001-08-24 3.49 3.42 3.48 3.76 4.03 4.55 4.82 4.93 5.54 5.45
2001-08-27 3.52 3.45 3.51 3.78 4.04 4.57 4.83 4.94 5.56 5.47
2001-08-28 3.53 3.41 3.46 3.71 3.97 4.48 4.73 4.85 5.49 5.41
2001-08-29 3.48 3.42 3.44 3.67 3.92 4.43 4.67 4.78 5.44 5.36
2001-08-30 3.41 3.36 3.38 3.61 3.88 4.42 4.68 4.79 5.45 5.37
2001-08-31 3.40 3.37 3.41 3.64 3.91 4.46 4.72 4.85 5.47 5.39
2001-09-04 3.43 3.44 3.55 3.83 4.10 4.63 4.88 4.99 5.59 5.50
2001-09-05 3.49 3.41 3.47 3.79 4.07 4.61 4.86 4.97 5.57 5.48
2001-09-06 3.44 3.34 3.40 3.65 3.93 4.48 4.73 4.86 5.50 5.41
2001-09-07 3.40 3.27 3.29 3.53 3.82 4.39 4.67 4.80 5.45 5.39
2001-09-10 3.40 3.26 3.31 3.53 3.82 4.41 4.69 4.84 5.50 5.43
2001-09-13 2.73 2.74 2.81 2.99 3.32 4.03 4.41 4.64 5.41 5.39
2001-09-14 2.54 2.64 2.73 2.87 3.17 3.92 4.31 4.57 5.38 5.35
2001-09-17 2.47 2.59 2.72 2.96 3.30 3.99 4.38 4.63 5.44 5.41
2001-09-18 2.34 2.48 2.69 2.96 3.31 4.01 4.46 4.72 5.59 5.55
2001-09-19 2.00 2.19 2.49 2.81 3.18 3.90 4.41 4.69 5.59 5.56
2001-09-20 2.04 2.22 2.56 2.91 3.27 3.97 4.47 4.75 5.67 5.62
2001-09-21 2.12 2.25 2.53 2.91 3.27 3.94 4.43 4.70 5.62 5.59
2001-09-24 2.38 2.38 2.56 2.94 3.30 4.00 4.47 4.73 5.61 5.58
2001-09-25 2.58 2.40 2.51 2.88 3.25 3.97 4.45 4.72 5.60 5.58
2001-09-26 2.51 2.38 2.48 2.82 3.18 3.91 4.39 4.65 5.52 5.50
2001-09-27 2.34 2.38 2.43 2.78 3.15 3.87 4.33 4.58 5.46 5.45
2001-09-28 2.28 2.40 2.49 2.86 3.22 3.93 4.37 4.60 5.45 5.42
2001-10-01 2.26 2.37 2.47 2.82 3.18 3.90 4.33 4.55 5.39 5.38
2001-10-02 2.27 2.26 2.43 2.77 3.14 3.87 4.31 4.53 5.36 5.34
2001-10-03 2.21 2.23 2.38 2.77 3.14 3.86 4.29 4.50 5.34 5.32
2001-10-04 2.22 2.21 2.37 2.75 3.14 3.88 4.29 4.53 5.33 5.31
2001-10-05 2.21 2.19 2.33 2.71 3.10 3.87 4.26 4.52 5.34 5.31
2001-10-09 2.24 2.22 2.35 2.74 3.16 3.96 4.35 4.62 5.42 5.39',header=T)
CodePudding user response：
With base R, you can do:
is_last_of_month <- function(x) {
trunc(x) == as.Date(round(as.POSIXlt(x), units = "months")) - 1
}
x <- seq(as.Date("2022-02-24"), as.Date("2022-03-05"), by = 1)
## [1] "2022-02-24" "2022-02-25" "2022-02-26" "2022-02-27" "2022-02-28"
## [6] "2022-03-01" "2022-03-02" "2022-03-03" "2022-03-04" "2022-03-05"
is_last_of_month(x)
## [1] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
We use trunc(x) instead of x on the left hand side of == to defend against the possibility of fractional days:
y <- as.Date("2022-02-28") 0.5
y
## [1] "2022-02-28"
is_last_of_month(y)
## [1] TRUE
## Whereas
y == as.Date(round(as.POSIXlt(y), units = "months")) - 1
## [1] FALSE
CodePudding user response：
A possible solution:
library(tidyverse)
library(lubridate)
df %>%
mutate(d = day(ymd(Date)), m = month(ymd(Date)), y = year(ymd(Date))) %>%
group_by(m, y) %>%
slice_max(d) %>%
ungroup %>%
select(-d, -m, -y)
#> # A tibble: 4 × 11
#> Date DGS1MO DGS3MO DGS1 DGS2 DGS3 DGS5 DGS7 DGS10 DGS20 DGS30
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 2001-07-31 3.67 3.54 3.53 3.79 4.06 4.57 4.86 5.07 5.61 5.51
#> 2 2001-08-31 3.4 3.37 3.41 3.64 3.91 4.46 4.72 4.85 5.47 5.39
#> 3 2001-09-28 2.28 2.4 2.49 2.86 3.22 3.93 4.37 4.6 5.45 5.42
#> 4 2001-10-09 2.24 2.22 2.35 2.74 3.16 3.96 4.35 4.62 5.42 5.39