[R-SIG-Finance] hist from a data frame that is a list

[Pedro páramo]

I have tried all, sorry because its true is not a finance question I
confused because its the treatment of the output of a finance question.

Sorry and many thanks in advance

Please receive my apologuises.

El jue., 30 jul. 2020 a las 20:28, Brian G. Peterson (<brian using braverock.com>)
escribió:

> In the future, please direct general R questions to stack orverflow or
> the general R-help list.  This question is for Finance and finance-
> related packages.
>
> try:
>
> hist(bwchist$reval)
>
> If that doesn't work, try
>
> class(bwchist)
>
> I suspect that the long list of tidyverse packages in your prior emails
> may have led you astray, and basic things won't work.
>
> Regards,
>
> Brian
>
>
> On Thu, 2020-07-30 at 20:18 +0200, Pedro páramo wrote:
> > Hi all,
> >
> > I have made some calculus and creating this:
> >
> >
> > bwfinal <- matrix(bestworst, nrow =35 , ncol = 1)
> > bwfinal2 <- matrix(namebw, nrow =35 , ncol = 1)
> >
> > bwc<-cbind(bwfinal2,bwfinal)
> > colnames(bwc)=c("Accion","reval")
> > bwc <- as.data.frame(bwc)
> > colnames(bwchist)=c("Accion","reval")
> > bwchist <-as.data.frame(bwc[order(bwc$reval), ])
> >
> > It is supposed thar bwchist is a data frame but when I try to make an
> > hist
> > it says me
> >
> > Error in hist.default(bwchist) : 'x' must be numeric
> >
> > It looks like bwchist is a list but dont I have tried to use unnlist
> > but
> > always appears the same error
> >
> > My bwchist is like this when run on the command line How should I
> > treat
> > this data frame to hist Accio on x axis and values of reval on Y
> > axis?:
> >
> >  bwchist
> >           Accion       reval
> > 20           IAG  -0.6962448
> > 7       Sabadell  -0.6788028
> > 22         Melia  -0.5636132
> > 26        Repsol  -0.4645528
> > 23        Merlin  -0.4545645
> > 8      Santander  -0.4368512
> > 5  ArcelorMittal  -0.3847631
> > 6           BBVA  -0.3774718
> > 4        Amadeus  -0.3755909
> > 28    Telefonica  -0.3598171
> > 35         Indra   -0.358055
> > 2            ACS   -0.354641
> > 34      Almirall  -0.3510929
> > 19      Colonial  -0.3501759
> > 32           CIE   -0.315845
> > 9      Bankinter  -0.2999523
> > 21        Mapfre  -0.2913895
> > 3           Aena  -0.2759459
> > 31        Bankia   -0.262466
> > 10     CaixaBank  -0.2539538
> > 18       Inditex  -0.2505565
> > 13          ENCE  -0.2414169
> > 24       Naturgy  -0.2409723
> > 30      Acerinox  -0.1881223
> > 16       Grifols  -0.1819918
> > 15     Ferrovial   -0.173434
> > 12        Enagas  -0.0312891
> > 25           REE 0.006016704
> > 1        Acciona  0.04221062
> > 14        Endesa  0.07195485
> > 33      MasMovil   0.1120944
> > 27       SGamesa   0.2178233
> > 29      Viscofan    0.245229
> > 17     Iberdrola   0.2585861
> > 11       Cellnex    0.429028
> >
> >       [[alternative HTML version deleted]]
> >
> > _______________________________________________
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> >
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> --
> Brian G. Peterson
> ph: +1.773.459.4973
> im: bgpbraverock
>
>

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