Look for the string "male" among our variable names and labels. Many variables or variables that are ambiguously named, but well labeled. Hsb2, but it is likely more useful when you are looking at a dataset with We will demonstrate this and similar commands using the small sample dataset, Name or label containing a given string, you can use the lookfor command. If you are presented with a dataset and wish to find which variables have a Searching in variable names and variable labels +-+-+-įor more details on the types of rules that can be implemented, the linked presentation is the best source. Variable name | Errors | Missing | Error-marker name If we wish to see what an error would trigger, we can change a value in our data and then rerun this check. There were no errors or missing required values! We can check to see if there are any violations of rules by entering ckvar. We can selectįemale from the "Variable to Check" list and then provide a rule for theĪcceptable range of values. Our variable female should only take on values 0 and 1. After downloading ckvar, you can use theĬkvaredit to open a dialog window that allows you to enter validation rules Then check that the dataset does not have any observations that violate theĪccepted range.
STATA DATASETS HOW TO
We will briefly demonstrate how to add a rule to a variable and Of the package by its author, see Bill Rising’s WCSUG07 slides. There is a package of Stata commands you can download, ckvar, thatĪllows you to create "self-validating" datasets. In Stata 11 and later, you can use the Variables Manager to see variable labels,įormats, and whether or not a variable has a value label or notes attached to This variable must be dummy coded for analysisĪll of these are included when a Stata dataset is loaded and all are searchable. Perhaps recenter score variables for analysisġ.
The command notes lists all of the notes in a dataset: notesġ. Note ses: This variable must be dummy coded for analysis note: Perhaps recenter score variables for analysis We write a note to the dataset and a note to the ses variable. Notes can beĪttached either to the dataset as a whole or to specific variables. Notes in Stata are an excellent way to annotate your data. label define elig 1 "eligible" 0 "not eligible" Then we will apply the label to the values in To do this, we will first define a label with the value descriptions Since the variable honsciĬontains 0 and 1, we will add value labels describing what each value However, you can still have a stringĭescribing each numeric value in such a variable. Label variable honsci `"honors eligibility"'įor purposes of data analysis in Stata, you will often need to codeĬategorical variables as numeric.
We will indicate this with a variable label. Those with science scores of 60 or over are eligible for entry to a science honors Below, we will create aĬategorical variable called honsci based on the science variable.
Variable you wish to label and the label to apply. To addĪ label to a variable, use the label variable command, then provide the Variable (thus allowing you to keep variable names more concise!). Adding a variable label and/or value labelĪ variable label allows you to describe the information contained in a Then, when working with the dataset, using some search commands can be an efficient way to find the desired variables for analysis andįirst, we demonstrate how to add variable label, value labels, dataset notes,Īnd variable notes to data. This approach to documenting allows you to always have access to When going through data management steps in Stata, there are severalĭocumentation features available that allow you to attach information to theĭataset.
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