My expected output would be two lines (casual and members) from January to December displaying the variation of y = average daily trip duration.In my most recent blog post I introduced the dualplot() R function, which allows you to create time series plots with two different scales on the vertical axes in a way that minimises the potential problems of misinterpretation. The variables are not available to be used for plotting And I guess, this grouping becoming the root of the problem for plotting a line across the time. That is why I had to compute the average(mean) to get one data point for each day.

Note: my numerical variable, trip_duration, is recorded on daily basis and has more than one observation per day.

I know, the third argument is optional, but in this case becomes mandatory since I am comparing two series on the same plot. Ggplot(data=bsts1, aes(x= date, y = trip_durantion, col=casual_member) X = date (1 year, from january to december)Ĭol = casual_member (the third and optional) I have a categorical variable with two groups (levels) = casual_member. Thank you in advance for all your support Where am I getting lost or getting it wrong ? Labs(title = Time Series bike sharing – Jan – jun) Ggplot(ri_date,average_time,casual_member)+ Sapply(bsts1, class) # checking data type Summarise( average_time= mean(ri_time)) # creating a new dataset for plotting “Error in fault(., ri_date, average_time, casual_member) : The data frame is there, I cant print the str(), head(), names, but as I run the code for plotting I get a message that the variables were not found. Now when I bring the data into ggplot, I get so frustrated as ggplot cant access the data. I created a subset using the selection (), grouped and computed the new variable to be plotted across the seasons. Immediately I thought that could be the solution I was looking for and I was so excited to move on. I come accross to your tutorial on summarise () with group_by() with the output on a new dataframe. I wanted the line ploted and was not happy with the points (scatter). After some search on web I got the reason – because I am working with grouped data. Time series with geom_line does not work for me.

I am glad I have come across to your website and youtube with such great content and I have just subscribed. Greetings from Mozambique to you and your wonderful team. Furthermore, don’t forget to subscribe to my email newsletter in order to get updates on new tutorials.

Don’t hesitate to let me know in the comments section below, in case you have additional questions. In this article you learned how to print a graph with multiple overlaying time series and a legend in the R programming language. Draw Time Series Plot with Events Using ggplot2 Package.Draw Multiple Variables as Lines to Same ggplot2 Plot.Draw Multiple Graphs & Lines in Same Plot.In the video, I explain the R programming syntax of this article.įurthermore, I can recommend reading the related tutorials of this homepage. In case you need further info on the R programming code of this article, you may have a look at the following video of my YouTube channel. Ggplot (data_long, # Draw ggplot2 time series plotĪs shown in Figure 2, the previous syntax created a graphic showing multiple time series variables.

Plot multiple time series same graph r