Collapse Percent Stata

Not only is Stata output difficult to format you will probably need to run your code many times and you wont want to repeat this step over and over again. The zero option includes combinations that have 0 frequency the freqcount option names the variable count and the nomiss option tells Stata to drop any observations that contain missing values.

Adding Percent Sign To Labels In Bar Graph Statalist

By default the mean of one or several variables is created.

Collapse percent stata. If you want percentages for other tables you need to tell it which percentages you want by adding the appropriate option. Collapse takes the dataset in memory and creates a new dataset containing summary statistics of the original data. The following collapse command does the exact same thing as above except that the average of age is named avgage and we have explicitly told the collapse command that we want it to compute the mean.

Save the percentage of each response category into new variables. Stata refers to any graph which has a Y variable and an X variable as a twoway graph so click Graphics Twoway graph. This way you would end up with one row per year-region and one column per category with a percentage.

The next step is to define a plot. -collapse- is a command not a function. Look at its sibling -contract- for percents.

What does the collapse command do in Stata. In Stata terms a plot is some specific data visualized in a specific way for example a scatter plot of mpg on weight A graph is an entire image including axes titles legends etc. The counts are in a different form than 1you may or may not find this desirable.

Stata pronounced either of stay-ta or stat-ta the official FAQ supports both is primarily interacted with via typed commands written in the Stata syntax. You can generate the dummies with -tab-. Collapse p25 gpa fwnumber byyear We used frequency weights.

Collapse mean age percent female bystate This would replace the existing data set with a new one with one row per state containing a variable indicating which state a variable indicating the average age in that state and a variable indicating the percent of. Get to know Statas collapse commandits your new friend. If you are new to Stata we strongly recommend reading all the articles in the Stata Basics section.

That said saving to percents alone will inhbit most kinds of analysis. Collapse gpa hour fwnumber byyear. The dataset can be simplified as follows clear input str9 date quantity price id 01jan2010 50 70 1 02jan2010 60 80 2 02jan2010 70 90 3 04jan2010 70 95 4 08jan2010 60 81 5 09jan2010 70 88 6 12jan2010 55 87 7 13jan2010 52 88 8 end gen.

I have a transaction level dataset and I want to collapse and calculate weekly average price. Use the collapse command. By default Stata only shows percentages for tables with one variable.

Collapse adds meaningful variable labels to the variables in this new dataset. You may have to merge the resulting variables back with the original dataset if you want to have them both together. Being this so little wonder you cannot easily estimate percentages for your data in Stata.

This variable is coded 1 if the student was. Collapsing your data means to combine several cases into single lines. When index i 1 we can see W 1 2640 which is greater than 1217.

Exporting Stata Results to Excel Problem. 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. Using the collapse command to create aggregate data from individual-level data using frequency weightsVisit my website for more videos.

In the first example we get the descriptive statistics for a 01 dummy variable called female. Then N Σ 4j1 weight j 2640 2930 3350 3250 12170 and P N p 100 12170 10100 1217. We do not have to type mean to specify that we want the mean because the mean is reported by default.

Compare nested models with collapsed categories in Stata. The simplest might be to create as many dummies as there are categories and compute the mean on each dummy -collapse- accepts a varlist so its almost the same command. Consider the table of sex and class we created earlier.

Stata命令介绍collapse 分组统计数据含义描述. Divide the known population percentage by the percent in the sample. 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.

Next we want to create a dataset containing the mean of gpa and hour for each year. Use httpsstatsidreuclaedustatstatamoduleskids clear collapse mean avgageage byfamid list famid avgage 1. Proportion tests allow you to test hypotheses about proportions in a population such as the proportion of the population that is female or the proportion that answers a question in a given way.

Descriptive statistics using the summarize command Stata Annotated Output. This page shows an example of getting descriptive statistics using the summarize command with footnotes explaining the output. Lets take a look at an example.

Stata output is difficult to copy and paste into Word or Excel. In the sample code above the contract command makes all combinations of designated variable lists foreign rep78 about frequency or percentage. The counts are in a different form than 1 or 2you may or may not find this desirable.

It is known for its ease of use robust support for complex survey design and comprehensive and clear documentation. Stata is statistical analysis software used commonly in social sciences. Collapsing categories of categorical variable in Stata - YouTube.

Nick On Fri Sep 9 2011 at 514 PM wrote. Adding Percentages to tab Output. That said I hope you wont take it amiss but your question conveys the feeling that the main issue far from being the calculation of percentages might well be the lack of preparation of the data set.

This article is part of the Stata for Students series. I have a panel data where I want to compare the. To obtain the 10th percentile we must find the first index i such that W i 1217.

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