Вы также можете выполнить sh это с использованием пакетов dplyr
и ggplot2
. Кроме того, вы можете использовать пакет lubridate
, если ваши даты являются строками.
Чтобы получить различия и средние значения :
library(dplyr)
#load if you need to convert strings to dates
library(lubridate)
#df as in example, check 'Data' below
df_new <- df %>%
#counting differences in minutes
mutate(difference = difftime(ymd_hms(date1), ymd_hms(date2), unit = "mins")) %>%
#grouping dates by 'abc' group
group_by(group1) %>%
#counting average difference for every 'abc' group in minutes
mutate(average = mean(difference))
Для построения участка:
library(ggplot2)
#passing summarized data to ggplot to create a plot and choosing aesthetics / dimensions to be ploted
ggplot(df_new, aes(y = avg_diff, x = group1, fill = group2)) +
#choosing type of plot
geom_col() +
#flipping x and y axis
coord_flip() +
#choosing colors
scale_fill_manual(values = c("green", "orange"))
Данные:
df <- data.frame(date1 = c("2020-04-05 11:51:51",
"2020-04-06 13:55:16",
"2020-04-06 14:26:56",
"2020-04-06 14:35:05",
"2020-04-06 14:36:00",
"2020-04-06 14:36:31",
"2020-04-06 14:36:31",
"2020-04-04 19:00:38",
"2020-04-05 21:22:23"),
date2 = c("2020-04-05 10:10:23",
"2020-04-06 11:41:20",
"2020-04-06 14:25:58",
"2020-04-06 14:26:03",
"2020-04-06 14:32:02",
"2020-04-06 14:33:35",
"2020-04-06 14:33:35",
"2020-04-04 18:30:29",
"2020-04-05 21:21:46"),
group1 = c("a", "b", "a", "a", "a", "b", "b", "c", "c"),
group2 = c("accept", "accept", "accept", "denny", "denny", "accept", "accept", "denny", "denny"),
stringsAsFactors = F)