In a previous post we considered some general points about experimental design. In this post we will look at some other common considerations when planning an experiment, specifically blocking, confounding and interactions. Read the rest of this entry »
The statistical methodology of design of experiments has a long history starting back with the work of Fisher, Yates and other researchers. One of the main motivating factors is to make good use of available resources and to avoid making decisions that cannot be corrected during the analysis stage of an investigation. Read the rest of this entry »
The online book on time series forecasting methods by Rob Hyndman and George Athanasopoulos has been completed and was announced on the Hyndsight blog. It is a very accessible book and worth reading to understand time series methodology and useful strategies for making predictions using these models.
The RHIPE website provides details of linking together the power of R and Hadoop.
The Seasonal Trend Decomposition using Loess (STL) is an algorithm that was developed to help to divide up a time series into three components namely: the trend, seasonality and remainder. The methodology was presented by Robert Cleveland, William Cleveland, Jean McRae and Irma Terpenning in the Journal of Official Statistics in 1990. The STL is available within R via the stl function. Read the rest of this entry »
R has various facilities for string manipulation including the strsplit function to divide a string into substrings based on matching to another string. Read the rest of this entry »
The power of the beamer class for LaTeX has been combined with the a0poster class to produce a method for more easily creating posters.
The pie chart is a frequently seen graph that uses area to compare percentages for a set of categories. Although this type of graph is based on comparing single metric for each category the display is two dimensional but sometimes even appears in three dimensions. Read the rest of this entry »
The Office for National Statistics (ONS) in the UK makes various data sets publicly available on their website. This includes a number of time series that could be useful for learning about different statistical models for time series data.