Hi All,
There is a thread about the use of save(), load(), saveRDS(), and
loadRDS(). It led me to think about a question regarding them.
In my personal work, I prefer using saveRDS() and loadRDS() as I don't like
the risk of overwriting anything in the global environment. I also like the
freedom
In a word: Yes.
We discussed this about 2w ago. Basically, the lm() fits a local Linear
Probability Model and the coef to "score" gives you the direction of the effect.
In the same thread it was discussed (well, readable between the lines, maybe)
that if you change the lm() to a Gaussian glm()
On Thu, Sep 28, 2023 at 8:18 AM Ivan Calandra wrote:
>
> Dear Arnaud,
>
> I don't quite unterstand why you have imbricated ifelse() statements. Do
> you have more that BUY (1) and SELL (-1)? If not, why not simply:
> mynewdf2 <- mydf2 |> dplyr::mutate(side = ifelse(side == 'BUY', 1, -1))
Yes it w
On Wed, 27 Sep 2023, arnaud gaboury writes:
> I have two data.frames:
>
> mydf1 <- structure(list(symbol = "ETHUSDT", cummulative_quote_qty =
> 1999.9122, side = "BUY", time = structure(1695656875.805, tzone = "", class
> = c("POSIXct", "POSIXt"))), row.names = c(NA, -1L), class = c("data.table",
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