Need help with getting started with this time series data

Hi, I have this data in a CSV.

It was output from a Unity simulation as part of an experiment and I am trying to learn to use R so wanted to work with this data set.

Every other column is a time stamp for various processes/tasks and the other columns are durations associated with that time stamp.

I want to see all the yellow columns as the x-axis and the white columns as the y-axis. I was able to do it with the first two columns using this:

> ggplot(data = cogLoad, mapping = aes(x = timeStamp, y = timeOn)) + geom_point() + geom_smooth()

but now I don't know how to add the other columns in the graph. I have imported everything into R Studio using this:

> read_csv("data/testData.csv")

── Column specification ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────

cols(

timeStampCogLoad = col_double(),

CogLoadTimeOn = col_double(),

timeStampObjectFound = col_double(),

ObjectFound = col_double(),

timeStampNavToolUsed = col_double(),

NavToolUsed = col_double(),

timeStampINSUsed = col_double(),

INSUsed = col_double()

)

# A tibble: 59 x 8

timeStampCogLoad CogLoadTimeOn timeStampObjectFound ObjectFound timeStampNavToolUsed NavToolUsed timeStampINSUsed INSUsed

<dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>

1 5104 3087 71831 5000 4534 1261 4634 265

2 11205 3850 95426 5000 6242 402 4940 1307

3 13486 4592 147970 5000 65803 1116 6289 644

4 30279 4556 205476 5000 119503 2101 66146 715

5 31868 4261 311042 5000 128853 2192 67042 111

6 40885 4192 359714 5000 138305 3062 67333 325

7 43858 4391 NA NA 144858 1483 67724 116

8 45593 4304 NA NA 150302 1529 128858 2780

9 51473 4519 NA NA 166366 1794 131819 178

10 60169 4139 NA NA 169746 207 138310 62

# … with 49 more rows

>

Sorry about the horrible formatting, but can't get it to work better.

Any suggestions are appreciated.

Hi!

To help us help you, could you please turn this into a proper reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one: