[R-br] RES: Intervalos de confiança com boot.ci

Quarta Setembro 23 10:40:27 BRT 2015

Amigos de R,

Desculpa pela demora, so consegui voltar nessa análise hoje. Bom tentei
fazer o script recomendado pelo Elias. O pedaço do plot do bootstrap
funciona, mas o pedaço para gerar o intervalo de confiança retorna um erro.

> library(boot)> SMR2 <- function(a,w=1){length(a$Hosp_Death[which(a$Hosp_Death==1)])*w/(length(a$SAPS3Pro2) * mean(a$SAPS3Pro2))*w}> SMR2(a)[1] 1.000319> plot(boo <- boot(a,SMR2,999,stype='i'))> boot.ci(boo)Error in bca.ci(boot.out, conf, index[1L], L = L, t = t.o, t0 = t0.o,  :
  estimated adjustment 'w' is infinite

Achei muito estranho a função plot do bot funcionar e o boot.ci não
funcionar. Possivelmente ha necessidade de resolver alguma configuração
para esse pedação do script.

Pedro Brasil

2015-09-23 0:19 GMT-03:00 ASANTOS <alexandresantosbr em yahoo.com.br>:

> Mauro, segue o script,
>
>
> dput(a[sample(1:nrow(a),100),c("Hosp_Death","SAPS3Pro2")])
> structure(list(Hosp_Death = c(0L, 1L, 0L, 1L, 0L, 0L, 0L, 1L,
> 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
> 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L,
> 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L,
> 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L,
> 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L,
> 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L), SAPS3Pro2 = c(0.1205,
> 0.3768, 0.315, 0.3768, 0.0311, 0.0719, 0.1735, 0.75, 0.01, 0.1454,
> 0.1093, 0.0511, 0.0891, 0.3353, 0.0073, 0.0401, 0.0044, 0.0239,
> 0.5246, 0.1591, 0.0453, 0.0511, 0.8715, 0.1735, 0.6037, 0.4405,
> 0.2047, 0.0208, 0.1591, 0.2047, 0.1205, 0.2759, 0.0273, 0.0044,
> 0.2759, 0.0157, 0.0643, 0.2215, 0.2047, 0.1735, 0.1591, 0.0273,
> 0.0062, 0.0311, 0.0157, 0.4192, 0.0643, 0.1735, 0.239, 0.4618,
> 0.0401, 0.0802, 0.0273, 0.0239, 0.0025, 0.0157, 0.0311, 0.0157,
> 0.0719, 0.239, 0.0574, 0.0157, 0.0085, 0.0085, 0.1093, 0.2215,
> 0.1591, 0.0719, 0.0044, 0.8563, 0.0453, 0.2047, 0.1454, 0.0273,
> 0.0891, 0.0802, 0.0239, 0.0135, 0.0802, 0.2571, 0.1735, 0.0157,
> 0.3768, 0.2759, 0.0891, 0.2047, 0.1735, 0.1454, 0.0643, 0.0311,
> 0.0453, 0.2759, 0.0239, 0.0181, 0.4405, 0.0085, 0.0311, 0.1205,
> 0.6579, 0.1093)), .Names = c("Hosp_Death", "SAPS3Pro2"), row.names =
> c(21875L,
> 6572L, 48643L, 11869L, 35683L, 48246L, 23919L, 29666L, 3676L,
> 45549L, 36453L, 14510L, 5082L, 1898L, 41549L, 25481L, 28590L,
> 38198L, 12822L, 12834L, 33267L, 34088L, 47720L, 30063L, 18326L,
> 11582L, 11454L, 34960L, 18785L, 11385L, 20605L, 28105L, 25496L,
> 1607L, 48766L, 36534L, 41868L, 45312L, 37206L, 26927L, 38944L,
> 21087L, 22343L, 1332L, 11496L, 29485L, 38316L, 4486L, 19757L,
> 45768L, 33028L, 12205L, 13150L, 41270L, 2780L, 44400L, 19696L,
> 26015L, 14651L, 39093L, 24905L, 17870L, 35016L, 42851L, 20464L,
> 33155L, 24924L, 33220L, 15379L, 28989L, 33286L, 34782L, 48534L,
> 9045L, 20403L, 40222L, 8821L, 31240L, 12465L, 11024L, 24407L,
> 45729L, 7412L, 22344L, 17737L, 3514L, 2335L, 22491L, 22493L,
> 14077L, 20346L, 12114L, 36868L, 16431L, 25112L, 31272L, 10877L,
> 14391L, 8422L, 45130L), class = "data.frame")
>
>
> SMR <- function(obs.var,pred.var){
>   if(length(obs.var) != length(pred.var)){
>     stop("Length of pred.var and obs.var differ.")
>    }
>    if(any(min(pred.var) <0 | max(pred.var) > 1)){
>      stop("The individual predicted death must range from 0 to 1.")
>    }
>    if(any(levels(as.factor(obs.var)) != c(0,1))){
>      stop("Observed death variable must be coded as 0 and 1.")
>    }
>    O <- length(obs.var[which(obs.var==1)])
>    E <- length(pred.var) * mean(pred.var)
>    SMR <- O / E
>    lowerCL <- O / E * (1 - 1 / (9 * O) - 1.96 / (3 * sqrt(O)))^3 * 100
>    upperCL <- (O + 1) / E * (1 - (1 / (9 * (O + 1))) + 1.96 / (3 * sqrt(O
> + 1)))^3 * 100
>    output <- c(SMR=SMR,lower.Cl=lowerCL,upper.Cl=upperCL)
>    output
>  }
>
>
> SMR2 <-
> function(a,w=1){length(a$Hosp_Death[which(a$Hosp_Death==1)])*w/(length(a$SAPS3Pro2)
> * mean(a$SAPS3Pro2))*w}
>
>
> boot.ci(boot(a, SMR2, R = 10, stype = "w",parallel = "multicore"))
>
> x <- boot.ci(boot(a, SMR2, R = 10, stype = "w",parallel = "snow"))
> SMR2 <- function(a,w=1)
>     sum(w*a$Hosp_Death)/sum(w*a$SAPS3Pro2)
>
> SMR2(a) ### SMR observada nos dados
>
> require(boot)
>
> plot(boo <- boot(a,SMR2,999,stype='i'))
> boot.ci(boo)
>
> Em 22/09/2015 23:14, Mauro Sznelwar escreveu:
>
>> Alguém poderia passar o código anterior, pois eu apaguei o que chegou
>> antes.
>>
>>
>>
>> vc pode fazer assim:
>>
>> SMR2 <- function(a,w=1)
>>       sum(w*a$Hosp_Death)/sum(w*a$SAPS3Pro2)
>>
>> SMR2(a) ### SMR observada nos dados
>>
>> require(boot)
>>
>> plot(boo <- boot(a,SMR2,999,stype='i'))
>> boot.ci(boo)
>>
>> .
>>
>>
>> ---
>> Este email foi escaneado pelo Avast antivírus.
>> https://www.avast.com/antivirus
>>
>> _______________________________________________
>> R-br mailing list
>> R-br em listas.c3sl.ufpr.br
>> https://listas.inf.ufpr.br/cgi-bin/mailman/listinfo/r-br
>> Leia o guia de postagem (http://www.leg.ufpr.br/r-br-guia) e fornea
>> cdigo mnimo reproduzvel.
>>
>
> --
> ======================================================================
> Alexandre dos Santos
> Proteção Florestal
> IFMT - Instituto Federal de Educação, Ciência e Tecnologia de Mato Grosso
> Campus Cáceres
> Caixa Postal 244
> Avenida dos Ramires, s/n
> Bairro: Distrito Industrial
> Cáceres - MT                      CEP: 78.200-000
> Fone: (+55) 65 8132-8112 (TIM)   (+55) 65 9686-6970 (VIVO)
> e-mails:alexandresantosbr em yahoo.com.br
>         alexandre.santos em cas.ifmt.edu.br
> Lattes: http://lattes.cnpq.br/1360403201088680
> ======================================================================
>
> _______________________________________________
> R-br mailing list
> R-br em listas.c3sl.ufpr.br
> https://listas.inf.ufpr.br/cgi-bin/mailman/listinfo/r-br
> Leia o guia de postagem (http://www.leg.ufpr.br/r-br-guia) e fornea cdigo
> mnimo reproduzvel.
>
-------------- Próxima Parte ----------
Um anexo em HTML foi limpo...
URL: <http://listas.inf.ufpr.br/pipermail/r-br/attachments/20150923/fc9a2417/attachment.html>