# Blog Archives

## Excel Errors and Other Numerical Nightmares

August 25, 2010
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Although I use Excel all the time, and I strongly encourage my students to use it for performance analysis and CaP, I was forced to include a warranty disclaimer in my GCaP book because I discovered a serious numerical error while writing Appendix B. There, my intention was just to show that Excel gives essentially the same results...

## Gone Guerrill_ R on Our Data

August 16, 2010
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Here's a summary of some things we learnt about applying R to computer performance and capacity planning data in the GDAT Class last week. Neural nets pkg nnet applied to CPU performance data in the Ripley and Venables book (see Section 8.10). How to do stacked plots that Jim calls "spark plots." Jim told...

## Gone Guerrill_ R on Our Data

August 16, 2010
By

Here's a summary of some things we learnt about applying R to computer performance and capacity planning data in the GDAT Class last week. Neural nets pkg nnet applied to CPU performance data in the Ripley and Venables book (see Section 8.10). How to do stacked plots that Jim calls "spark plots." Jim told...

## Go Guerrill… R on Your Data in August

July 5, 2010
By

Only one month to go! Register now for the Guerrilla Data Analysis Techniques (GDAT) class to be held during the week of August 9-13, 2010. The focus will be on using R and the PDQ-R for computer performance analysis and capacity planning.(Click on t...

## Go Guerrill… R on Your Data in August

July 5, 2010
By

Only one month to go! Register now for the Guerrilla Data Analysis Techniques (GDAT) class to be held during the week of August 9-13, 2010. The focus will be on using R and the PDQ-R for computer performance analysis and capacity planning.(Click on t...

## Prime Parallels for Load Balancing

July 5, 2010
By

Having finally popped the stack on computing prime numbers with R in Part II and Part III, we are now in a position to discuss their relevance for computational scalability.My original intent was to show how poor partitioning of a workload can defeat the linear scalability expected when full parallelism is otherwise attainable, i.e., zero...

## Prime Parallels for Load Balancing

July 5, 2010
By

Having finally popped the stack on computing prime numbers with R in Part II and Part III, we are now in a position to discuss their relevance for computational scalability.My original intent was to show how poor partitioning of a workload can defeat the linear scalability expected when full parallelism is otherwise attainable, i.e., zero...

## Linear Modeling in R and the Hubble Bubble

June 22, 2010
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Here is a scatter plot with the coordinate labels deliberately omitted. Figure 1. Do you see any trends? How would you model these data? It just so happens that this scatterplot is arguably the most famous scatterplot in history. One aficionado, writing more than forty years after its publication, commented skeptically :" data points were consequently spread...

## Linear Modeling in R and the Hubble Bubble

June 22, 2010
By

Here is a scatter plot with the coordinate labels deliberately omitted. Figure 1. Do you see any trends? How would you model these data? It just so happens that this scatterplot is arguably the most famous scatterplot in history. One aficionado, writing more than forty years after its publication, commented skeptically :" data points were consequently spread...

## Playing with Primes in R (Part II)

June 17, 2010
By

Popping Part III off the stack—where I ended up unexpectedly discovering that the primes and primlist functions are broken in the schoolmath package on CRAN—let's see what prime numbers look like when computed correctly in R. To do this, I've had to roll my own prime number generating function.Personalizing primes in RFor what I want...