STATA 11 for Windows SAMPLE SESSION - Food Security Group ...
STATA 11 for Windows SAMPLE SESSION - Food Security Group ...
STATA 11 for Windows SAMPLE SESSION - Food Security Group ...
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Stata <strong>11</strong> Sample Session Section 2 – Restructuring Data Files – Table Lookup & Aggregation<br />
Computing quartiles<br />
The xtile command using if<br />
The new variable does not yet have a variable label. To<br />
assign a variable label:<br />
1. Click on Data, then Data utilities, then Label<br />
utilities, then Label variable.<br />
2. In the Variables: box, select cprod_ae<br />
3. In the Attach label to variable (up to 80<br />
characters) box, type<br />
Calories produced per adult equivalent per day<br />
4. Click on the copy button, switch to the do-file<br />
editor, paste the command, switch back to the<br />
dialog box and click on Ok.<br />
5. Add a comment to explain what you have done.<br />
The Stata commands are:<br />
generate double cprod_ae= cprod_tt/ae/365<br />
label variable cprod_ae "Calories produced per adult<br />
equivalent per day"<br />
Be<strong>for</strong>e we can produce the table we want, we have to<br />
create one more variable, denoting which calorieproduction<br />
quartile each household falls into within each<br />
district. The Stata command to use is called xtile. This<br />
command is not available through the menus. To look at<br />
the structure of the command, we can use the Help menu.<br />
1. Click on Help / Stata command.<br />
2. In the Command: box, type xtile and click on Ok.<br />
Under the Description heading, the definition of xtile is<br />
that it is a command that categorizes a variable into the<br />
specified quantiles and places the in<strong>for</strong>mation into a new<br />
variable. Examples can be found under the Examples:<br />
heading. Since we want to divide the data into quartiles<br />
within each district, we can use the “if” subcommand,<br />
e.g.,<br />
xtile quart = cprod_ae if district == 1, nq(4)<br />
where<br />
quart is the new variable that is created<br />
cprod_ae is the variable used to rank the data<br />
district is the controlling variable<br />
nq(4) is short <strong>for</strong> nquantiles(number) which<br />
specifies the number of quantiles to use.<br />
1. Click on Statistics then Summaries, tables and<br />
tests then Summary and Descriptive Statistics<br />
then Create variable of quantiles<br />
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