Compare different dates with each other

[bruecksy]

Hey there,

I want to compare dates with each other:
"Alltimes" contains 3 dates (%y%m%d_%h%m%s).
For each date, I want to find out, if it is in range of the dates given in "times_sel".
F.e. is 20200101_195240 in range of 20200101_195137 -> 20200102_053623, is 20200101_195240 in range of 20200114_172615 -> 20200114_200423 and so on.
If it lies in range of times_sel[1] OR times_sel[2] OR times_sel[3], i want to save it in a new vector.

alltimes <- data.frame(
  stringsAsFactors = FALSE,
                V1 = c("20200101_195240", "20200105_044527", "20200116_225426")
)


times_sel <- data.frame(
  stringsAsFactors = FALSE,
             Start = c("20200101_195137", "20200114_172615", "20200116_172905"),
               End = c("20200102_053623", "20200114_200423", "20200116_230726")
)

So far I tried:

final_sel <- vector(mode = "numeric")

for (i in 1:NROW(alltimes)) {
  for (j in 1:NROW(times_sel)) {
    runif((alltimes[i] >= as.numeric(times_sel$Start[j]) && alltimes[i] <= as.numeric(times_sel$End[j])), final_sel <- c(final_sel, alltimes[i]), next)
  }
}

I have little experience in R-programming, so I hope to find some help here.

[andresrcs]

Hi!

To help us help you, could you please turn this into a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[bruecksy]

error: error in [.data.frame (alltimes, i) : undefined columns selected

warning: NA created

[andresrcs]

Is this what you mean?

library(tidyverse)
library(lubridate)

alltimes <- data.frame(
    stringsAsFactors = FALSE,
    V1 = c("20200101_195240", "20200105_044527", "20200116_225426")
)


times_sel <- data.frame(
    stringsAsFactors = FALSE,
    Start = c("20200101_195137", "20200114_172615", "20200116_172905"),
    End = c("20200102_053623", "20200114_200423", "20200116_230726")
)

alltimes %>% 
    mutate(V1 = ymd_hms(V1)) %>% 
    rowwise() %>% 
    mutate(flag = any(map2_lgl(ymd_hms(times_sel$Start),
                               ymd_hms(times_sel$End),
                               ~ V1 >= .x & V1 <= .y))) %>% 
    filter(flag) %>% 
    select(V1)
#> # A tibble: 2 x 1
#> # Rowwise: 
#>   V1                 
#>   <dttm>             
#> 1 2020-01-01 19:52:40
#> 2 2020-01-16 22:54:26

^{Created on 2021-07-18 by the reprex package (v2.0.0)}

[bruecksy]

Hey,

yes, this solves my problem.

Thank you!