timeVeriation function, the plot only shows 23 hours a day

[MelodyH]

Hi! I am using the timeVeriation function in the openair package to analyse the data, but the x-axis ‘hours’ in the top and bottom left plots are 0 to 23, which means that the hour 23 to 24 (0) is missing (as Monday's 23:00 and Tuesday's 0:00 on the same line). Is there anything I can do to see the full 24 hours of the day?
Thank you so much!

[jrkrideau]

Hi, and welcome to the forum. We probably need to see your actual code and some sample data. You may want to have a look at FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A handy way to supply some sample data is the dput() function. In the case of a large dataset something like dput(head(mydata, 100)) should supply the data we need.

BTW you mean timeVariation do you not?

Ah, wait a minute. I just tried this on a package dataset and it gives the same results as you are getting. The plots appear to start at time zero so from 0:23 gives you 24 hourly data points.

[MelodyH]

Yeah, I can get 24 hours of data points starting from 0 to 23, but if you look at the top image, Monday's 23:00 and Tuesday's 0:00 are overlapping on a line, so there is a sudden change at that point and I can't see the change for the hour in between. I guess it could be that the packet is designed that way, is there any way I can see the full change? Many thanks!

By the way, here's my code.

roomtemp<- fread("HFD_RoomTemp_2021_2022.csv", 
             header = F, sep = ",", skip=1,
             na.strings = "NA",
             col.names = c("date", "room.temp")
             )
dev.new()
timeVariation(roomtemp,pollutant="room.temp", statistic = "median", col="firebrick")

And the data of date is from 2021-06-15 13:42:01 to 2022-06-20 00:10:00, one data every 30 seconds.

[Ven]

There is no change in regard to the time denoted in your plots.
The plots denoted by hour, are divided into 4 groups of 6 hours.

The "overlap" is a product of the grouping of those 6 hour intervals denoted by the following expression;

However, we read a clock as the following instead;

Or more accurately;

In other words, the overlap can be viewed in the following table

the [hour] and [pair] variables cohere to the 4 groups of 6 hours.

     n hour pair group
 1:  0    0    1     1
 2:  1    1    2     1
 3:  2    2    3     1
 4:  3    3    4     1
 5:  4    4    5     1
 6:  5    5    6     1
 7:  6    6    7     2
 8:  7    7    8     2
 9:  8    8    9     2
10:  9    9   10     2
11: 10   10   11     2
12: 11   11   12     2
13: 12   12   13     3
14: 13   13   14     3
15: 14   14   15     3
16: 15   15   16     3
17: 16   16   17     3
18: 17   17   18     3
19: 18   18   19     4
20: 19   19   20     4
21: 20   20   21     4
22: 21   21   22     4
23: 22   22   23     4
24: 23   23    0     4
25: 24    0    1     1
     n hour pair group

[MelodyH]

oh I got it! Thank you so much!