`car_lamb()` not working for regrouped `apply_market_model()` results

[keegangclarke]

Hi Mr Rudnytskyi, I hope you are well.

I am a master's student at UCT in South Africa, and am making use of your package estudy2 for a large part of my analysis for my dissertation. Thank you for providing the package!

Please could you assist me with a problem I am finding with the car_lamb() testing function.

I have a fairly large dataset of equity prices. I run your package process (as illustrated in the vignette), and record the results of apply_market_models(). I then take these returns objects and reorganise copies into the four different levels of ICB Industry classifications (in descending order; industry, supersector, sector, subsector).

Then I run the all tests on these new groupings, namely parametric_tests(), nonparametric_tests(), car_parametric_tests(), car_nonparametric_tests(). This functions without error on the larger groupings (i.e. Industry & Supergroup).

However, when I attempt to apply car_parametric_tests() on the smaller groupings, the car_lamb() function runs into the following error:

Error in data.frame(..., check.names = FALSE) : arguments imply differing number of rows: 5, 4 In addition: Warning message: In '/.default' (event_means, sd) : longer object length is not a multiple of shorter object length

Despite my best efforts, I have not discovered why this does not work with the smaller groupings. This error is exactly the same for each subgrouping that throws it.

I need to demonstrate that this is something to do with the smaller groupings, and not the data since the same data and the same market models are used in each grouping.

P.S. I skip every group that is less than or equal to 2 in size.