As I stated in my race report, I felt like I was haulin' ass for most of this race but given my time goal (sub-seven hours for ~35 miles) I'd have to be moving. And I was. At least I thought I was until it seemed like the entire field was pulling away from me, one runner at a time. My mediocre (relatively speaking) performance was confirmed once I examined the distribution of finishing times and my position therein. The Stata code is pasted below with the graph following.

capture log close

log using worth57k_graph, replace

datetime

// program: worth57k_graph.do

// task: graph distribution of finish times w/ my time highlighted

// project: drivel

// author: cjt

// born on date: 20120925

// #0

// program setup

version 11.2

clear all

macro drop _all

set more off

// #1

// insheet CSV

insheet using "C:\Documents and Settings\cjt\Desktop\Worthersee57k\Worthersee57kResultsTrnsfr.csv"

// #2

// convert string time variables to numeric time variables

foreach var of varlist velden pyramiden finish {

gen double `var'_temp = clock(`var', "hms")

drop `var'

rename `var'_temp `var'

format `var' %tcHH:MM:SS

}

*end;

// #3

// identify quartiles, median, and mean for plotting on histogram

quietly su finish, det

// #4

// plot the finish times via a -histogram- along w/ lines denoting the 25th percentile,

// median, mean, 75th percentile, as well as my time

hist finish, freq xtick(16200000(1800000)37800000) xlabel(18000000(3600000)36000000) ///

addplot(pci 0 27112000 38 27112000, lwidth(medthick) || pci 0 `r(p25)' 40 `r(p25)' ///

0 `r(p50)' 40 `r(p50)' 0 `r(p75)' 40 `r(p75)', lpattern(shortdash) || pci 0 `r(mean)' 40 `r(mean)', ///

lpattern(longdash)) text(15 `r(p25)' "25th Percentile",orientation(vertical) place(nw)) ///

text(15 `r(p50)' "Median",orientation(vertical) place(nw)) text(15 `r(mean)' "Mean", ///

orientation(vertical) place(ne)) text(15 `r(p75)' "75th Percentile",orientation(vertical) place(ne)) ///

text(39 27112000 "Me", place(c)) text(0.5 27112000 "07:31:52", orientation(vertical) place(nw)) ///

scheme(s1color) legend(off) xtitle("Finish Time (Hours Elapsed)") ytitle("Frequency") ///

title("Worthersee Trail Maniak 57k") subtitle("Distribution of Finish Times") ///

note("Data downloaded from http://www.woerthersee-trail.com/")

// #5

// -export- graph

gr export worth57k_graph.png, replace

log close

exit

log using worth57k_graph, replace

datetime

// program: worth57k_graph.do

// task: graph distribution of finish times w/ my time highlighted

// project: drivel

// author: cjt

// born on date: 20120925

// #0

// program setup

version 11.2

clear all

macro drop _all

set more off

// #1

// insheet CSV

insheet using "C:\Documents and Settings\cjt\Desktop\Worthersee57k\Worthersee57kResultsTrnsfr.csv"

// #2

// convert string time variables to numeric time variables

foreach var of varlist velden pyramiden finish {

gen double `var'_temp = clock(`var', "hms")

drop `var'

rename `var'_temp `var'

format `var' %tcHH:MM:SS

}

*end;

// #3

// identify quartiles, median, and mean for plotting on histogram

quietly su finish, det

// #4

// plot the finish times via a -histogram- along w/ lines denoting the 25th percentile,

// median, mean, 75th percentile, as well as my time

hist finish, freq xtick(16200000(1800000)37800000) xlabel(18000000(3600000)36000000) ///

addplot(pci 0 27112000 38 27112000, lwidth(medthick) || pci 0 `r(p25)' 40 `r(p25)' ///

0 `r(p50)' 40 `r(p50)' 0 `r(p75)' 40 `r(p75)', lpattern(shortdash) || pci 0 `r(mean)' 40 `r(mean)', ///

lpattern(longdash)) text(15 `r(p25)' "25th Percentile",orientation(vertical) place(nw)) ///

text(15 `r(p50)' "Median",orientation(vertical) place(nw)) text(15 `r(mean)' "Mean", ///

orientation(vertical) place(ne)) text(15 `r(p75)' "75th Percentile",orientation(vertical) place(ne)) ///

text(39 27112000 "Me", place(c)) text(0.5 27112000 "07:31:52", orientation(vertical) place(nw)) ///

scheme(s1color) legend(off) xtitle("Finish Time (Hours Elapsed)") ytitle("Frequency") ///

title("Worthersee Trail Maniak 57k") subtitle("Distribution of Finish Times") ///

note("Data downloaded from http://www.woerthersee-trail.com/")

// #5

// -export- graph

gr export worth57k_graph.png, replace

log close

exit

The resulting graph:

As can be seen from the graph, I wasn't imagining the field pulling away from me. The distribution of times is essentially normal --- the mean and median are nearly identical --- with my time approximately 30 minutes slower than that of the statistical middle-of-the-packer. Ordinarily, I don't give much thought or attention to my relative position among the finishing times but with this race I couldn't resist simply because it was obvious while running the race that I'm either (a) running slower than it feels or (b) the field as a whole was running faster than I'm accustomed. As is evident from the graph, it was probably a combination of both.