合并一个组单元内的多个时间间隔,可以使用dplyr或data.table解决方案。
示例代码:
library(dplyr)
# 创建一个示例数据框
df <- data.frame(group = c('A', 'A', 'B', 'B'),
start_time = c('2022-01-01 08:00:00', '2022-01-01 10:00:00', '2022-01-01 09:00:00', '2022-01-01 11:00:00'),
end_time = c('2022-01-01 09:00:00', '2022-01-01 12:00:00', '2022-01-01 10:00:00', '2022-01-01 13:00:00'))
# 转换时间字段为POSIXct格式
df$start_time <- as.POSIXct(df$start_time, format = "%Y-%m-%d %H:%M:%S")
df$end_time <- as.POSIXct(df$end_time, format = "%Y-%m-%d %H:%M:%S")
# 按组单元分组并合并时间间隔
merged_df <- df %>%
group_by(group) %>%
summarize(start_time = min(start_time),
end_time = max(end_time))
# 输出结果
print(merged_df)
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示例代码:
library(data.table)
# 创建一个示例数据表
dt <- data.table(group = c('A', 'A', 'B', 'B'),
start_time = c('2022-01-01 08:00:00', '2022-01-01 10:00:00', '2022-01-01 09:00:00', '2022-01-01 11:00:00'),
end_time = c('2022-01-01 09:00:00', '2022-01-01 12:00:00', '2022-01-01 10:00:00', '2022-01-01 13:00:00'))
# 转换时间字段为POSIXct格式
dt[, start_time := as.POSIXct(start_time, format = "%Y-%m-%d %H:%M:%S")]
dt[, end_time := as.POSIXct(end_time, format = "%Y-%m-%d %H:%M:%S")]
# 按组单元分组并合并时间间隔
merged_dt <- dt[, .(start_time = min(start_time), end_time = max(end_time)), by = group]
# 输出结果
print(merged_dt)
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