The second round of group games ended last night (sadly with Sweden’s elimination). Here is what the last number of days has done to the plots.

ggplot2 improves the graphics drawn with R. A (very) short adaptation time is needed to find how to make graphs equivalent to the ones of graphics. For example, to draw the curve of a function, there is no function similar to curve(). You have to use qplot() by setting the stat and geom arguments as

Next week I’ll present a glimpse of R and ggplot2 graphics at VUW. This is a MESA seminar on ‘Data analysis and plotting with free and open source tools’ where we’ll present spreadsheet alternatives based on gnuplot, Python, an...

Accounting for temporal dependence in econometric analysis is important, as the presence of temporal dependence violates the assumption that observations are independent units. Historically, much less attention has been paid to correcting for spatial dependence, which, if present, also violates this independence assumption. The comparability of temporal and spatial dependence is useful for illustrating why

I suspect I am not unique in not being able to remember how to control the point shapes in R. Part of this is a documentation problem: no package ever seems to write the shapes down. All packages just use the “usual set” that derives from S-Plus and was carried through base-graphics, to grid, lattice Related posts:

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