I recently had to prepare a beamer presentation in hindi/devanagari. I usually use emacs-orgmode with a lot of R source code embedded in it to prepare my beamer presentations. To adapt the entire setup to work with devanagari, this is what I needed to do.
Make orgmode export to latex using xetex rather than
I discovered a new, very useful, R function yesterday: ave.
This is what it does: “Subsets of ‘x‘ are averaged, where each subset consist of those observations with the same factor levels.”
But interestingly, you can use any function other than average. The output of that function is set against each observation.
I wanted
If a model is estimated using the following code: lm(y~x1+x2)->p
1. bptest(p) does the Breuch Pagan test to formally check presence of heteroscedasticity. To use bptest, you will have to call lmtest library.
2. If the test is positive (low p value), you should see if any transformation of the dependent variable helps you eliminate
sapply(a,class) gives type of field (character, numeric, or factor) for each variable in the data frame a.
?rollmean (package=zoo)?rollmedian (package=zoo)?runmed (package=stats)
?relevel
: The levels of a factor are re-ordered so that the level specified by ‘ref’ is first and the others are moved down. This is useful for ‘contr.treatment’ contrasts which take the first level as the reference.
In my previous post on this issue, I had presented a code that made weighted boxplots and annotated them with boxplot statistics and the mean values. The problem with that code was that it printed these annotations right on the vertical axes of the boxplots. Also, a relatively minor problem was that, when the values
Here are some useful tips on the issue. V.
Some of the Census 2001 data are in microsoft access files (having filename extensions .mdb). A microsoft access file can have several tables inside, each of which contains data. There is a software called mdbtools that can be used to read access files.
The command mdb-tables can be used to see the names of tables
John Verzani’s book has a title page that shows a scatterplot with histograms of x and y variables along the two axes. It is a very powerful way of looking at two distributions. The plot was generated through a function simple.scatterplot. The function is made available as part of the UsingR package, which can be
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
