Frequency Tables for Continuous Variables

Discuss the jamovi platform, possible improvements, etc.

by Frank.M.LoSchiavo » Tue Apr 06, 2021 7:03 pm

I'm new to Jamovi (and R), but I really like Jamovi as an alternative to SPSS for my intro stat students. I sincerely thank the developers for their hard work! Quick issue...Using the exploration menu, I cannot find a way to create a frequency table when variables are continuous. I have found workarounds by using the Rj Editor and by transforming a continuous variable into a new nominal/ordinal variable with the same values. I really wish it were easier to create frequency tables no matter the measurement type, because there are several good reasons to create frequency tables regardless of the data. Simple example...I often create frequency tables as I begin cleaning my data. Is there any possibility of loosening the restrictions on frequency tables? Thanks again for your amazing work! - Frank
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by sbalci » Tue Apr 06, 2021 7:45 pm

you may use tableone function in ClinicoPath Descriptives Module
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by MAgojam » Tue Apr 06, 2021 8:26 pm

Hi @Frank,
if you want to get a frequency table from the continuous variable, you can select it and from the ribbon Data>Setup>Measurement type classify it as Ordinal.
At this point with Analysis>Exploration>Descriptive and selecting the Frequency Tables checkbox, you will also get a frequency table of the values of your variable in the Variables list.
This works with both jamovi desktop and jamovi cloud.
If you use jamovi desktop, you can also follow the suggestion of Sbalci, who developed the indicated module and just preceded me in the suggestion.

Sorry if that's not what you were asking.

Cheers,
Maurizio
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by Frank.M.LoSchiavo » Tue Apr 06, 2021 8:51 pm

Sbalci, thanks for the module suggestion!

Maurizio, thanks for your reply, as well, although changing the measurement type doesn't fix the overall problem. I'm using jamovi desktop. If a variable's measurement type is classified as ordinal, I can produce a frequency table, but later, when I reclassify that same variable's measurement type to continuous, the frequency table will disappear! I realize that I can copy the frequency table and paste it somewhere for safekeeping, but it would be helpful to have all the output for all the analyses together in the Results window.

Perhaps I should state the issue another way...Using the same continuous variable, I'd like to have a frequency table (which currently is only available when measurement type is nominal/ordinal) and other analyses that require continuous variables (e.g., t-tests) within the same Results window. Bottom line...Why limit frequency tables to nominal/ordinal variables? Can that restriction be lifted in the base product?

Thx.

FML
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by seol » Tue Apr 06, 2021 10:10 pm

Hi @Frank,

why don't you create the existing var. into new variable as a nominal/ordinal variable shown below? you don't need to copy the frequency table and paste it somewhere.
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by MAgojam » Tue Apr 06, 2021 10:18 pm

Frank.M.LoSchiavo wrote: although changing the measurement type doesn't fix the overall problem.


Hi FML,
you are right and sorry for my simple answer.
If you are using the jamovi desktop version, I think you might find it useful to install the "PARALLEL USE OF STATISTICAL PACKAGES IN TEACHING" Rosetta module.
Take a look at the screenshot that I am attaching to you.
Campture.PNG
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Cheers,
Maurizio
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by Frank.M.LoSchiavo » Wed Apr 07, 2021 1:04 am

Seol, creating a new variable (which is continuous) is one of the workarounds I mentioned in my original post. At the moment, I think that's the best option without having to load additional modules.

Maurizio, thanks for the module suggestion. I'll definitely check it out!

I'm still hoping someone will address why the jamovi base limits frequency tables to nominal/ordinal variables, and if that restriction can be lifted in a future version.

Thx.

FML
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by jonathon » Wed Apr 07, 2021 6:30 am

descriptives in jamovi is designed around the most common scenarios ... most of the time, you don't want frequency tables for continuous variables, because you'll end up with a giant table with as many rows in the table as there are rows in the data set.

normally we visualize a continuous variable with a histogram or similar.

cheers

jonathon
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