About CEdward

CEdward · ‎12-11-2020

Hello forum members, This is a rather trivial task, but I didn't see how I would be able to do so. How would I see the levels of a categorical label without their labels? For example, say I had an income variable with 3 levels and I wanted to know the 'number' that corresponds to each'. How would I do this? Income High Medium Low Income 3 2 1

CEdward · ‎12-10-2020

I suspected that was the solution. Thank you. As an added safety check, I noticed a post in that original link which says that using the fact that residuals are not always calculated for lines with missing is not bullet proof. Would someone be able to confirm that?

CEdward · ‎12-09-2020

PGStats Thank you. I want to get the number of distinct individuals used rather than observations. I have used that method for observations already.

CEdward · ‎12-09-2020

Good day, I saw this post previously and am wondering if the opposite is done: https://communities.sas.com/t5/Statistical-Procedures/Identifying-Unused-Observations-in-PROC-PHREG/td-p/143602. Suppose I have a panel dataset, how can I determine how many people were included in my model?

CEdward · ‎12-08-2020

Hope this clears it up: Have Customer Total_Purchases 1 1 1 1 1 1 1 2 1 2 1 3 2 1 2 1 2 1 2 2 2 2 Customer Total_Purchases New_Purchase 1 1 0 1 1 0 1 1 1 1 2 0 1 2 1 1 3 0 2 1 0 2 1 0 2 1 1 2 2 0 2 2 0 Does that help?

CEdward · ‎12-08-2020

I see. So every customer starts at a single purchase. The data would never look like this: Have Customer Total_Purchases 1 1 1 1 1 1 1 2 1 2 1 3 2 4 2 4 2 4 2 5 Is this what you are asking? In this example, you are right, the last row of customer 1 would get a 1 in the New_Purchase flag. This isn't preferred.

CEdward · ‎12-08-2020

Paige, The same pattern would repeat for all customers in the data.

CEdward · ‎12-08-2020

Hello, I have a dataset that looks like the following: Have Customer Total_Purchases 1 1 1 1 1 1 1 2 1 2 1 3 Want Customer Total_Purchases New_Purchase 1 1 0 1 1 0 1 1 1 1 2 0 1 2 1 1 3 0 Essentially what I want to do is create a flag (New_Purchase) that indicates 1 if and only if the next row increments up by 1 and 0 otherwise. So in this case the New_Purchase variable will equal 1 as highlighted in the want dataset as an example. Is there a way to do this?

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Levels of a categorical variable

Re: Number of people in a regression model

Re: Number of people in a regression model

Number of people in a regression model

Re: Creating a binary flag based on the next row

Re: Creating a binary flag based on the next row

Re: Creating a binary flag based on the next row

Creating a binary flag based on the next row

Re: Levels of a categorical variable

Re: Number of people in a regression model

Re: Number of people in a regression model

Levels of a categorical variable

Re: Number of people in a regression model

Re: Number of people in a regression model

Number of people in a regression model

Re: Creating a binary flag based on the next row

Re: Creating a binary flag based on the next row

Re: Creating a binary flag based on the next row

Creating a binary flag based on the next row