各位老师好。
小弟 学习R软件 的使用
遇到一个问题：关于HSROC程序包的使用问题
2.1 Data preparation
After having installed the package, the library can be loaded with the following command :
> library(HSROC)
The data on MR imaging is included in the library and can be loaded as follows :
> data(MRI)
> MRI
++ +- -+ --
1 9 2 2 44
2 3 6 5 32
3 3 2 1 16
4 3 1 12 44
5 1 1 6 16
6 7 2 22 167
3
7 12 4 4 29
8 23 5 14 230
9 8 5 5 53
10 16 2 2 22
The columns ++; +-; -+; -- represent the results of the cross tabulation between MRI (the test under evaluation) and histologic/cytologic specimens obtained by
surgery or lymph node biopsy (reference test). The colummn headings ++; +􀀀; 􀀀+; 􀀀􀀀
correspond to (MRI +, reference +), (MRI +, reference -), (MRI -, reference +) and (MRI -,

reference -), respectively.
In order to estimate the parameters of the conditional independence model, we use the function HSROC. The arguments论据 of the function are as follows :
（init初始化，null 零）
> args(HSROC)

function (data, iter.num, init = NULL, sub_rs = NULL, first.run = TRUE,
path = getwd(), refresh = 100, prior.SEref = NULL, prior.SPref = NULL,
prior_PI = c(0, 1), prior_LAMBDA = c(-3, 3), prior_THETA = c(-1.5,
1.5), prior_sd_alpha = list(0, 2, "sd"), prior_sd_theta = list(0,
2, "sd"), prior_beta = c(-0.75, 0.75))
> init.alpha = c(2.51, 2.54, 3.81, 2.41, 2.64, 2.70, 3.31, 3.39, 3.11, 2.99)
> init.theta = c(-0.51, -0.39, 0.33, -2.06, -0.14, -0.08, 1.11, 0.38, -0.86,
+-0.38)
> init.s1 = rep(0.9,10)
> init.c1 = rep(0.9,10)
> init.pi = c(0.38, 0.17, 0.78, 0.07, 0.74, 0.84, 0.52, 0.95, 0.07, 0.56)


> init_within = cbind(init.alpha, init.theta, init.s1, init.c1, init.pi)
> init_within = cbind(init.theta, init.alpha, init.s1, init.c1, init.pi)
> init.THETA = -0.16
> init.sig.theta = 0.75
> init.LAMBDA = 2.58
> init.sig.alpha = 0.5
> init.beta = 0.25

> init_between = c(init.THETA, init.sig.theta, init.LAMBDA, init.sig.alpha, init.beta)
> init = list(init_within, init_between)
> HSROC(data=MRI, iter.num=50000, init=init )
> args(HSROCSummary)
function (data, burn_in = 0, iter.keep = NULL, Thin = 1, sub_rs = NULL,
point_estimate = c("median", "mean"), summary.path = getwd(),
chain = getwd(), tv = NULL, digit = 6, print_plot = FALSE,
plot.ind.studies = TRUE, conf_region = TRUE, predict_region = TRUE,

col.pooled.estimate = "red", col.predict.region = "blue",
lty.conf.region = "dotdash", lty.predict.region = "dotted",
region_level = 0.95, trunc_low = 0.025, trunc_up = 0.025)

For our example, we call the function as follows :
> HSROCSummary(data = MRI, burn_in=10000, Thin=2, print_plot=TRUE )

> dir.create("C:/MRI/Chain1")
> HSROC(data=MRI, iter.num=50000, init=init, path="C:/MRI/Chain1" )
> dir.create("C:/MRI/Chain2")
> HSROC(data=MRI, iter.num=50000, init=init2, path="C:/MRI/Chain2" )

> dir.create("C:/MRI/Chain3")
> HSROC(data=MRI, iter.num=50000, init=init3, path="C:/MRI/Chain3" )

> HSROCSummary(data = MRI, burn_in=10000, Thin=2, print_plot=TRUE,
+ path="C:/MRI/All_Chains", chain=list("C:/MRI/Chain1","C:/MRI/Chain2",
+ "C:/MRI/Chain3") )

小弟试过能复制以上命令，但是小弟现在想
自己运行自己的数据，我把数据呈上。命名为abc，希望哪位大哥能够演示一下 使用自己的外部数据的整个过程。
谢谢

HSROC.pdf
大小:(370.51 KB)

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HSROC_R_Tutorial.pdf
大小:(1.41 MB)

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abc.xls
大小:(25 KB)

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