拆分，转置和收集数据帧

Question

我需要收集和转置数据帧中的数据，小时值应该在一列中。第一列应该是带小时和秒转置小时值的日期。

样本数据：

structure(list(Year = c(2016L, 2016L), JDay = 1:2, Hour_1 = c(2.59, 
5.95), Hour_2 = c(2.19, 5.84), Hour_3 = c(1.84, 5.75), Hour_4 = c(1.51, 
5.66), Hour_5 = c(1.21, 5.58), Hour_6 = c(0.94, 5.5), Hour_7 = c(0.69, 
5.43), Hour_8 = c(0.45, 5.37), Hour_9 = c(0.23, 5.31), Hour_10 = c(2.18, 
6.19), Hour_11 = c(4.39, 7.16), Hour_12 = c(6.29, 8), Hour_13 = c(7.76, 
8.65), Hour_14 = c(8.68, 9.06), Hour_15 = c(9, 9.2), Hour_16 = c(8.68, 
9.06), Hour_17 = c(7.76, 8.65), Hour_18 = c(7.8, 8.52), Hour_19 = c(7.21, 
7.57), Hour_20 = c(6.85, 6.99), Hour_21 = c(6.59, 6.57), Hour_22 = c(6.39, 
6.25), Hour_23 = c(6.22, 5.98), Hour_24 = c(6.08, 5.75)), .Names = c("Year", 
"JDay", "Hour_1", "Hour_2", "Hour_3", "Hour_4", "Hour_5", "Hour_6", 
"Hour_7", "Hour_8", "Hour_9", "Hour_10", "Hour_11", "Hour_12", 
"Hour_13", "Hour_14", "Hour_15", "Hour_16", "Hour_17", "Hour_18", 
"Hour_19", "Hour_20", "Hour_21", "Hour_22", "Hour_23", "Hour_24" 
), row.names = c(NA, -2L), class = c("tbl_df", "tbl", "data.frame" 

使用的收集只是给我的，为了所有Hour_1值...

gather(OP_daily[, c(5:28)], time,temp, Hour_1:Hour_24) 

输出示例：

date   temp  
2016-1-1 1:00 2.59 
2016-1-1 2:00 2.19 

Answer 1

这种声音像你正在寻找的gather：

df %>% 
    gather(-c(Year,JDay), key = "Hour", value = "temp") %>% 
    unite(date,Year,JDay,Hour) %>% 
    mutate(date=as.POSIXct(date,format='%Y_%j_Hour_%H')) %>% 
    arrange(date) 

        date  temp 
       <time> <dbl> 
1 2016-01-01 01:00:00 2.592221 
2 2016-01-01 02:00:00 2.193009 
3 2016-01-01 03:00:00 1.835225 
4 2016-01-01 04:00:00 1.511071 
5 2016-01-01 05:00:00 1.214767 
6 2016-01-01 06:00:00 0.941902 

编辑

要看看有多少，每天的意见：

res <- df %>% 
    gather(-c(Year,JDay), key = "Hour", value = "temp") %>% 
    unite(date,Year,JDay,Hour) %>% 
    mutate(date=as.POSIXct(date,format='%Y_%j_Hour_%H',tz = "GMT")) %>% 
    arrange(date) 
res%>% 
mutate(date_only=as.Date(date))%>% 
group_by(date_only)%>% 
summarise(count=n()) 

    date_only count 
     <date> <int> 
1 2016-01-01 23 
2 2016-01-02 24 
3 2016-01-03  1