# Month: September 2010

• ## More options for working with several buffers

For those who do not like to use the ibuffer, there is another nice feature in Emacs: Just use Ctrl+Left Mouse and you will see a buffer menu appearing which shows all the buffer modes that are active. If you click on one of them all buffers opened are shown (in the image you see the R-files opened at the moment:
Another nice key shortcut is Ctrl + Right mouse. Depending on the mode you are in it opens a menu with all the commands you can use in that mode (the next image shows you the commands that appear
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• ## Ibuffer for looking at your buffers in Emacs

Navigating in Emacs if you have a lot of buffers open, can be done in different ways. The most basic one is using the key combination Ctrl+x Arrow Right or Left for the next or previous buffer. If there are a lot of buffers open, this is not an option. Another option is using the buffer list C-x C-b. The buffer list contains all the open buffers, but finding the one you are looking for might take some time.
I prefer to use ibuffer which offers you many possibilities for looking at your buffers. It is part of Emacs since

• ## Capturing todo’s and notes in Emacs

Often when I work on a model or a statistic problem in Emacs I make a note that I have to correct or add something to the code whenever I have the time for it. I used to work with Outlook or with a piece of paper, but both have disadvantages. Writing on a piece of paper or with outlook disrupts my work flow and I have to write down to which part of my work the note relates. Emacs can be a great tool for keeping track of notes or todo’s and links them directly to the file you
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• ## Elasticities in estimated linear models

Ever wondered how your estimation of a linear function relates to the elasticities of the estimated model? I always seem to forget, especially if I have taken the logarithm on one or both sides of the equation. Here are the four cases you can have:

Linear:
The function has the following form (if you have more variables on the right hand side, this doesn’t change the story):

$Y=a + bX$

The elasticity is given by:

$\epsilon= \frac{dY}{dX}\frac{X}{Y}=b\frac{X}{Y}$

and the coefficient b is the change in Y from a unit increase in X.

Log-linear

$log(Y)=a + bX$

and the elasticity is given
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