R: Experiment 1: How does the measured data differ from the expected data?

for (i in 1:length(To_Chip_RTP$Time)) {
Time_difference[i]=
(To_Chip_RTP$Time[i]-To_Chip_RTP$Time[1])-((as.numeric(To_Chip_RTP_clock[i])-as.numeric(To_Chip_RTP_clock[1]))/8000)
}
plot( Time_difference[800:
      length(Time_difference)] , pch=20, cex=0.25)

Scale the bullet to ¼ size

Since delay can not be negative, the real difference can be found by subtracting the min() ⇒

hist( Time_difference[800:length(Time_difference)]-min(Time_difference[800:
length(Time_difference)] ), breaks=100)

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Transcript

So, if I plot the measured data versus the expected data, I get a plot like this. You can see it has these distributions that are over the whole set of values.

We can compute it now as a histogram of the differences.