What does collapse command do in Stata?
What does collapse command do in Stata?
collapse takes the dataset in memory and creates a new dataset containing summary statistics of the original data. collapse adds meaningful variable labels to the variables in this new dataset.
What does it mean to collapse data?
Collapsing your data means to combine several cases into single lines. This is much liking creating statistics for groups of cases, but by collapsing your data a new data set is created that contains these statistics and can be put to further use.
How does collapse mean treat missing values Stata?
First, if all of the cases for a value of id are missing, then the collapsed value will be missing. Otherwise, if at least one cases has non-missing data, then any other missing values will be treated as zeros to preserve the non-missing data.
What is a collapsing variable?
Collapsing a variable means changing the scale of a variable, or reducing the number of categories. It is most commonly done to facilitate display or analysis of data. Continuous measurement data can be collapsed to give discrete categories by putting them in class intervals.
Does collapse ignore missing values?
If we repeat this process but specify the cw option, collapse ignores all observations that have missing values.
Which kind of data can increase or decrease continuously?
Quantitative data is data where the values can change continuously, and you cannot count the number of different values. Examples include weight, price, profits, counts, etc. Basically, anything you can measure or count is quantitative.
Should I weight my data?
When data must be weighted, weight by as few variables as possible. A general rule of thumb is never to weight a respondent less than . 5 (a 50% weighting) nor more than 2.0 (a 200% weighting). Keep in mind that up-weighting data (weight › 1.0) is typically more dangerous than down-weighting data (weight ‹ 1.0).
What is the collapse command in Stata?
Using the Collapse Command in Stata. Collapse allows you to convert your current data set to a much smaller data set of means, medians, maximums, minimums, count or percentiles (your choice of which percentile). Let’s take a look at an example. I’m currently looking at a longitudinal data set filled with economic data on all 67 counties in Alabama.
What is collapsecollapse in Excel?
Collapse allows you to convert your current data set to a much smaller data set of means, medians, maximums, minimums, count or percentiles (your choice of which percentile). Let’s take a look at an example.
What is the use of Clist and collapse?
collapse converts the dataset in memory into a dataset of means, sums, medians, etc. clist must refer to numeric variables exclusively. Note: See[D] contract if you want to collapse to a dataset of frequencies. Options. Options by(varlist) specifies the groups over which the means, etc., are to be calculated.
What does collapsing your data mean?
Collapsing your data means to combine several cases into single lines. This is much liking creating statistics for groups of cases, but by collapsing your data a new data set is created that contains these statistics and can be put to further use. By default, the mean of one (or several) variables is created.