R: Experiment 1: Inter-arrival times of RTP packets: From network to local user agent

Using Excel

Mean	0.019999999
Standard Error	9.28526E-08
Median	0.020004
Mode	0.020005
Standard Deviation	3.04446E-05
Sample Variance	9.26874E-10
Kurtosis	12.36652501
Skewness	-2.054662184
Range	0.000374
Minimum	0.019815
Maximum	0.020189
Sum	2150.11991
Count	107506
Confidence Level(95.0%)	1.8199E-07

Using R functions

mean(To_Chip_RTP_delay): 0.02
library(plotrix); std.error(To_Chip_RTP_delay): 9.284597e-08

The mode is the most frequently occurring value (hence via https://stat.ethz.ch/pipermail/r-help/1999-December/005668.html):
names(sort(-table(To_Chip_RTP_delay)))[1]: "0.0200049999984913“

sd(To_Chip_RTP_delay): 3.044357e-05
var(To_Chip_RTP_delay): 9.268109e-10
library(moments);
   kurtosis(To_Chip_RTP_delay): 15.36689
   skewness(To_Chip_RTP_delay): -2.054706
min(To_Chip_RTP_delay): 0.019815 max(To_Chip_RTP_delay): 0.020189
sum(To_Chip_RTP_delay): 2150.28
length(To_Chip_RTP_delay): 107514
qnorm(0.975)*std.error(To_Chip_RTP_delay): 1.819748e-07

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Transcript

We can, of course, compute the same statistics as we did with R using a set - in this case of R functions - we get the same values out (basically)-