Price indexes varying by geographical area about hpir HOT 8 CLOSED

The package itself doesn't have a 'partitioning function', but you should be able to do something like:

cities_list <- split(transactions_df, transactions_df$city_name)
cities_hpi <- purrr::map(.x = cities_list,
                                          .f = rtIndex,
                                          ... (your other parameters))

Let me know if you need a more in depth example.

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This looks great. Thank you!

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Hi.
I tried what you suggest and got the error message : Error: Can't convert a hpiindex object to function
Moreover, I have also an error message when executing plot() with an annual periodicity (it works fine with a monthly periodicity) :

Error in data.frame(x = x$numeric, y = as.numeric(x$value), imp = x$imputed,  : 
  arguments imply differing number of rows: 0, 10

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I'm sorry. The first error message was due to a misunderstanding on my side. I corrected, but now get the following error:

"mod_spec" argument must be of class "formula"
Error in hpiModel.hed(model_type = "hed", hpi_df = hed_trans, mod_spec = hed_spec,  : 

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I managed to get an output by using .f = modelToIndex. What I don't understand however is that I get the same index series for the two regions in my data (my dataset has been split on these two regions).

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I managed to get it work with .f = hedIndex, sorry for all these messages.
So the only remaining error concerns plot() with an annual periodicity.
Thank you.

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@gcasamat. Sorry for all the trouble here. Can you give me a bit more details on the issue you are having with plot()?

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Closing due to lack of response from reporter.

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