Getting started with stata
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Getting Started with STATA. By: Katie Droll. Embrace Stata!. Stata is your statistical buddy! If you put in a bit of effort to learn the basics, you should find the program quite easy and very helpful. Statistical software can be very intimidating your 1 st time around. Stay patient!.

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Getting Started with STATA

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Getting started with stata

Getting Started with STATA

By: Katie Droll


Embrace stata

Embrace Stata!

  • Stata is your statistical buddy!

  • If you put in a bit of effort to learn the basics, you should find the program quite easy and very helpful.

  • Statistical software can be very intimidating your 1st time around. Stay patient!


Getting started with stata

Results window: This is where non-graphic output is printed

Review Window: lists all commands

Click on command to rerun

Variable Window

Enter Commands here!

Graph Window:

Click on graph & copy into word doc

STATA Command Window


How do i enter data

How do I enter data?

  • Retrieve data from stored data files:

    • EASY: Open .dta files from textbook CD-ROM

    • HARDER: Import ASCII data from .txt or .raw

      • But also useful outside the context of class

  • Manually enter variables & data values:

    • EASY: Use the data editor

    • HARDER: Use input command

      • Time consuming if there is a lot of data

      • Prone to errors: typos!


Where is the stored data

Where is the stored data?

  • Textbook CD-ROM

    • Datasets for examples found in chapter examples will be under the appropriate ‘chapter’ folder under Stata

    • Datasets for homework problems in Appendix B of the book should also be here under ‘exercise’

  • On the course website

    • Under ‘Statistical Computing’ ’Datasets’

    • Save the .dta file on your computer


Retrieving dta files

Retrieving .DTA files

  • Command line:

    use "E:\Stata\exercise\nurshome.dta", clear

    -OR-

  • Point and Click:

    Go to ‘File’ ‘Open…’ Select your CD drive

    Go to ‘Stata’ ‘exercise’ OR ‘chapn’


Importing txt or raw data files

Importing .txt OR .raw data files

  • Remove the variable names and any other symbols (such as ‘*’) from the top of the .txt file, then save!

    Command:

    infile str20 strvar1 numvar2 using “C:\Unicef.txt"

Command

Variable names

File pathname

import data command

Command for ‘string’ variable indicating the length


Entering data using the editor

Entering data using the editor

  • Go to Data  Data Editor

  • Enter your data similar to a spreadsheet program like Excel

  • Double-click on the variable names (var1) to edit them and add variable labels

  • Click Preserve, and then close out of the data editor window

  • You cannot run analyses on this data until you preserve the data and close the data editor!

Variable Name


Entering data using input

input str18 name age

“Joe Smith” 15

“Ricky Bobby” 24

“Wilma Flintstone” 27

end

input str5 first str10 last age

Joe Smith 15

Ricky Bobby 24

Wilma Flintstone 27

end

input year cigs

1900 54

1910 151

1920 665

1930 1485

1940 1976

1950 3522

1960 4171

1970 3985

1980 3851

1990 2828

end

This tells STATA the variable is string

Entering data using input

Start data entry

Must use “” if there are any spaces in variable

Length of string variable

Exit data entry


Summarizing data

Summarizing data

list

print your dataset to the results window

summarize variable

 prints summary stats in the results window

summarize variable, detail

 provides additional summary statistics


Lab 1 main topics

Lab #1 Main Topics


Bar charts

Bar Charts

graph bar cigs, over(year) title("Cigarette Consumption Per Person, US") b2(Year) ytitle("number of Cigarettes") ylabel(0(2000)4000)


Box plot

Box plot

graph box cigs, title("Cigarette Consumption per Person, US") ytitle("Number of Cigarette")

graph box resident, medtype(line) box(1, fcolor(magenta) lcolor(purple)) title(Box plot of Nursing Home Residents)


Histogram

Histogram

histogram resident, ytitle(Distribution of Residents) xtitle(Number of residents) title(Histogram of the Distribution of Residents)


Save commands

Save commands!

  • Open a do editor:

    Window Do-file Editor New Do-File

  • Copy and paste commands in this file to save for later use

  • You can also copy and paste commands into a simple txt file or a word file

  • Please include important output (results & graphs) in your homework, along with the commands that produced the included output.


Saving commands to a log file

Saving commands to a log file

  • Before your Stata session begins, you want to give Stata the following Command:

    log using "C:\Temp\myfile.log", noproc

  • After you are done writing your Stata commands, you can close the log file by using the Log button located just below the Prefs menu (it looks like scroll with a traffic light next to it).

  • From within Stata, you can examine the contents of that Log file with the command:

    type "C:\Temp\myfile.log"

  • To run that file as a program (referred to as a "do-file" in Stata), you can simply issue the Stata command:

    do "C:\Temp\myfile.log"


Putting stata output into homework

Putting Stata output into homework

  • Simply highlight what you want from the results window (including the command), then copy [Ctrl-C] and paste [Ctrl-V] into your homework document

  • To copy and paste graphs, just click on the graph before copying it. You can use [Ctrl-C] or Right-click Copy

  • After you copy & paste the output into your homework, change the font to a monospace (fixed pitch) font, i.e. fonts in which each character has the same width. This will line up your output!

  • Examples: Courier New, SAS Monospace


Lab 2 main topics

Lab #2 Main Topics


Labels

Labels

  • Save organ.dta from the website to your computer, and it open in Stata

  • The names of the afflicted organs are just labels. To see what the raw data look like, you can list them without the labels as follows:

    list, nolabel

  • You can see what the association of label and value is by listing the labels:

    label list


Summarizing data by categorical groups

Summarizing data by categorical groups

  • If we want to do some exploratory analysis of our data set, we can at first produce some descriptive statistics for the survival of each organ. To do that we must sort the observation by organ.

    sort organ

  • Then we can summarize the data by organ as follows:

    by organ: summarize survival


Side by side box plots

Side-by-side box plots

  • We can even generate side-by-side box plots for the survival from diagnosis for each affected organ as follows:

graph box survival, by(organ) ytitle("Length of Survival (days from diagnosis)")


Creating a new variable as a function of an existing variable

Creating a new variable as a function of an existing variable

  • The first conclusion from the box plot is that women with breast cancer have the longest survival. This is consistent with the descriptive statistics produced by the summarize command.

  • Another conclusion is that the variability in the length of survival is not the same in all cases, with breast and ovarian cancer having a large variability (indicated by the length of the box) while the rest of the cancers have very small variability. This will actually be a problem later on, so taking a transformation of the original survival times. A logarithmic transformation is usually a good bet. We do this as follows:

    generate lsurv=ln(survival)

    label var lsurv "Log-transformed survival"


Box plot of log survival

Box plot of log survival

  • To include the overall box plot of survival in the side-by-side box plots, you just add the option total:

    graph box lsurv, by(organ,total) ytitle("Log-transformed Survival (days from diagnosis)")


Histograms by group

Histograms by group

  • We can also generate the histograms of survival time (log-transformed) for each type of cancer as well as total as follows:

    hist lsurv, freq by(organ, total)


Selecting groups to summarize

Selecting groups to summarize

  • To get descriptive statistics within only breast and ovarian cancer groups you must use the if statement within the summarize command:

    by organ: summarize survival if organ==1 | organ==4, detail


Especially for point and click people

Especially for Point-and-click People!

  • If you don’t like entering commands, you can also use the menus in Stata to point and click your way through the analyses.

  • To summarize data:

    Data  Describe Data ‘choose an option here’

  • Graphs:

    Graphics Bar Chart

    Histogram

    Box plot

    ‘and many other options’

  • This is a great way to explore the program, and learn about the various capabilities of Stata

  • Still please remember to include the command from the results window in your homework


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