Time Series as calendar heat maps + All of my running data since April 1, 2009 = Generated by the following code: #Sample Code based on example program at: source(file = “calendarHeat.R”) run<- read.csv(“log.csv”, header = TRUE, sep=”,”) sum(run$Distance) date <- c() for (i in 1: dim(run)[1]){ if(run$DistanceUnit[i]== ‘Kilometer’){ miles <- c(miles,run$Distance[i] * 0.62) } […]
Data Steps 2011-11-09 21:36:00
I have been following some of the recent talk going on the blogosphere about R and SAS.R vs SAS/SPSS in Corporations: A view from the other sideShe is correct that it is nearly impossible to get large organizations to give up their propietary software….
Data Steps 2011-11-09 21:36:00
I have been following some of the recent talk going on the blogosphere about R and SAS.R vs SAS/SPSS in Corporations: A view from the other sideShe is correct that it is nearly impossible to get large organizations to give up their propietary software….
Data Steps 2011-11-09 21:36:00
I have been following some of the recent talk going on the blogosphere about R and SAS.R vs SAS/SPSS in Corporations: A view from the other sideShe is correct that it is nearly impossible to get large organizations to give up their propietary software….
SAS-L: 25 years old and still spry
The popular mailing list for the SAS user community hits a milestone this weekend by turning 25. 25 is often referred to as the “silver anniversary”, but for a quarter century SAS users have found gold among the messages in this list, which feature everything from questions and answers about […]
Limit the number of drill-through to detail records available from OLAP cubes
Drill-through to detail is the ability to right click within a cell of a web report or OLAP viewer and request the detail source records that make up that specific cell’s measure. The maximum number of records, by default, is set to 300,000. Feasibly t…