Forget about Excel. It is hopeless for any serious work. (If you need convincing, see Bruce McCullough’s articles on Excel.) Any research student in the quantitative sciences should be using a matrix language for computation. I recommend students use R. It is free, has a big user base, and has zillions of add-on packages.
Blog posts about R
- Animated plots in R and LaTeX
- Batch forecasting in R
- Blog aggregators
- Building R packages for Windows
- Comparing HoltWinters() and ets()
- COMPSTAT2012
- Constants and ARIMA models in R
- CrossValidated Journal Club
- CrossValidated launched!
- Data visualization
- Data visualization videos
- Debugging in R
- Different results from different software
- Econometrics and R
- ETS models now in EViews 8
- Exponential smoothing and regressors
- Finding an R function
- Flat forecasts
- Forecast estimation, evaluation and transformation
- forecast package v4.0
- Forecasting annual totals from monthly data
- Forecasting the Olympics
- Forecasting time series using R
- Forecasting with long seasonal periods
- Forecasting workshop: Switzerland, June 2011
- Forecasts and ggplot
- Happy World Statistics Day!
- How to avoid annoying a referee
- Initializing the Holt-Winters method
- Installing R
- Internet surveys
- Interviews
- Kaggle on TV
- Learning R by video
- Major changes to the forecast package
- Makefiles for R/LaTeX projects
- Measuring time series characteristics
- More StackExchange sites
- My new forecasting book is finally finished
- My new forecasting textbook
- Organization and R
- Out-of-sample one-step forecasts
- R books
- R graph with two y-axes
- R help links
- R help on StackOverflow
- R workshop
- Removing white space around R figures
- RStudio: just what I’ve been looking for
- SimpleR tips, tricks and tools
- Six places left for the forecasting workshop
- Stack exchange for statistical analysis needs you!
- Statistical Analysis StackExchange site now available
- Statistical tests for variable selection
- The ARIMAX model muddle
- The art of R programming
- Time series cross-validation: an R example
- Time Series Data Library now on DataMarket
- Time series packages on R
- Twenty rules for good graphics
- Using Google Reader
- What should we call the stats Q&A site?
- What you wish you knew before you started a PhD
- Why are some things easier to forecast than others?
- Why R is better than Excel for teaching statistics
- Workflow in R






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