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liska22

liska22

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test for class
this is example
Matrix MARSSkem
i = 50 a = matrix(rnorm(i*10),i,10) kemfitM=MARSS(a, control=list(maxit=20), fun.kf="MARSSkfss", silent=TRUE, fit=FALSE) profvis({ tmp=MARSSkem(kemfitM) })
Liam 1000m times
Liam 200m times
Aaron 1000m times
Miles 1000m times
Nate 1000m times
Jake 1000m times
Nate 200m times
Miles 200m times
Aaron 200m times
Jake 200m times
500m times for OHR paddlers
200m times for OHR paddlers
Sloan Fellows by Type of School
2017-2012 in Math, Physics, Neuroscience and Ocean Sciences
College selectivity and alumni wealth I
This uses the data from the Equality of Opportunity project to look at what school produces wealthy alumni and how 'tier' (selectivity) of a school is related to that. Note, that wealth of alumni is highly correlated with wealth of parents and this analysis does not adjust for that. This analysis is mainly looking at how admit rates and type of school relates to wealth.
500m times of OHR paddlers
200m times of OHR Paddlers
1000m times of OHR paddlers
SCKC Boys average 500m times
This is based on data from 2010 to 2016 from the following regattas: Slawko, Ted Houk, Nationals, US Trials, Lake Placid, and Pacific Cup plus a few OHR results. The points show the average time for that that paddler at particular ages.
SCKC Boys average 1000m times
This is based on data from 2010 to 2016 from the following regattas: Slawko, Ted Houk, Nationals, US Trials, Lake Placid, and Pacific Cup plus a few OHR results. The points show the average time for that that paddler at particular ages.
SCKC Boys average 200m times
This is based on data from 2010 to 2016 from the following regattas: Slawko, Ted Houk, Nationals, US Trials, Lake Placid, and Pacific Cup plus a few OHR results. The points show the average time for that that paddler at particular ages.