在安装CATS包（2013）和更改R版本的几次尝试失败之后，我决定使用here
的源代码我用包中的所有R函数创建了一个R脚本，I 运行它们，然后我希望这段代码能够在以下代码末尾的示例中绘制功能：
super.cats<-function(RR,MAFmax=0.5,MAFmin=0.005,by=50,rep=1536,SNPs=1E6,ncases,ncontrols,ncases2,ncontrols2,alpha=0.05/SNPs,...){
powerList.O<-c()
powerList.J<-c()
powerList.R<-c()
powerList.F<-c()
power.O<-rep(0,length(RR))
power.F<-rep(0,length(RR))
power.J<-rep(0,length(RR))
power.R<-rep(0,length(RR))
MAF<-exp(seq(log(MAFmin),log(MAFmax),by=(log(MAFmax)-log(MAFmin))/by))
for(nmaf in 1:length(MAF)){
for(tal in 1:length(RR)){
if(power.F[tal]>0.995&power.R[tal]>0.995){
power.O[tal]<-1
power.R[tal]<-1
power.J[tal]<-1
power.F[tal]<-1
break
}
temp<-cats(risk=RR[tal],freq=MAF[nmaf],ncases=ncases,ncontrols=ncontrols,ncases2=ncases2,ncontrols2=ncontrols2,alpha=alpha,pimarkers=rep/SNPs,...)
power.O[tal]<-temp$P.one.study
power.J[tal]<-temp$P.joint
power.R[tal]<-temp$P.rep.study
power.F[tal]<-temp$P.first.stage
}
powerList.O<-cbind(powerList.O,power.O)
powerList.J<-cbind(powerList.J,power.J)
powerList.R<-cbind(powerList.R,power.R)
powerList.F<-cbind(powerList.F,power.F)
cat(nmaf," ")
}
cat("\n")
obs<-list(powerList.O=powerList.O,powerList.J=powerList.J,powerList.R=powerList.R,powerList.F=powerList.F,RR=RR,MAF=MAF,ncases=ncases,ncontrols=ncontrols,ncases2=ncases2,ncontrols2=ncontrols2,rep=rep,curve=F)
class(obs)<-"supercats"
return(obs)
}
##############################
if(FALSE){
#heat plot
rr<-seq(1,2,by=0.025)
c<-super.cats(rr,by=length(rr),ncases=765,ncontrols=1274,ncases2=100,ncontrols2=100,alpha=0.001,prevalence=0.01);
plot(c,main="power",file=NULL)
#curves
rr<-seq(1,3,by=0.05)
maf<-c(0.01,0.05,0.2,0.5)
c2<-curve.cats(rr,maf,ncases=765,ncontrols=1274,ncases2=100,ncontrols2=100,alpha=0.001,prevalence=0.01);
plot(c2,main="power2",ylab="Power",xlab="RR",file=NULL,col=1:4)
}
####
"cats" <-
function (freq=0.5,freq2=-1,ncases=500,ncontrols=500,ncases2=500,ncontrols2=500,risk=1.5,risk2=-1,pisamples=-1,prevalence=0.1,prevalence2=-1,additive=0,recessive=0,dominant=0,multiplicative=1,alpha=0.0000001,pimarkers=0.00316)
{ model<-c(additive,recessive,dominant,multiplicative)
if(sum(model==1)!=1)
stop("chose only one model. e.i. one model must be 1 the others 0")
if(sum(model==0)!=3)
stop("chose only one model. e.i. one model must be 1 the others 0")
if(freq<0|freq>1)
stop("freq must be between 0 and 1")
if((freq2<0|freq2>1)&freq2!=-1)
stop("freq2 must be between 0 and 1 (or undefined as -1)")
if((pisamples<0|pisamples>1)&pisamples!=-1)
stop("pisamples must be between 0 and 1")
if((prevalence2<0|prevalence2>1)&prevalence2!=-1)
stop("prevalence2 must be between 0 and 1 (or undefined as -1)")
if(alpha<0|alpha>1)
stop("alpha must be between 0 and 1")
if(prevalence<0|prevalence>1)
stop("prevalence must be between 0 and 1")
if(pimarkers<0|pimarkers>1)
stop("pimarkers must be between 0 and 1")
if(ncases!=as.integer(ncases)|ncases<0)
stop("ncases must be a positive integer")
if(ncases2!=as.integer(ncases2)|ncases2<0)
stop("ncases2 must be a positive integer")
if(ncontrols!=as.integer(ncontrols)|ncontrols<0)
stop("ncontrols must be a positive integer")
if(ncontrols2!=as.integer(ncontrols2)|ncontrols2<0)
stop("ncontrols2 must be a positive integer")
if(risk<0)
stop("risk must be positive")
if(risk2<0&risk2!=-1)
stop("risk2 must be positive(or undefined as -1)")
res<-.Call("cats",
as.double(freq),as.double(freq2),as.integer(ncases),as.integer(ncontrols),
as.integer(ncases2),as.integer(ncontrols2),as.double(risk),as.double(risk2),
as.double(pisamples),as.double(prevalence),as.double(prevalence2),
as.integer(additive),as.integer(recessive),as.integer(dominant),
as.integer(multiplicative),as.double(alpha),as.double(pimarkers))
options<-cbind(freq,freq2,ncases=ncases,ncontrols=ncontrols,ncases2=ncases2,ncontrols2=ncontrols2,risk,risk2,pisamples,prevalence,prevalence2,additive,recessive,dominant,multiplicative,alpha,pimarkers)
result<-list(P.one.study=res[1,1],P.first.stage=res[2,1],P.rep.study=res[3,1],P.joint.min=res[4,1],P.joint=res[5,1],pi=res[6,1],T.one.study=res[7,1],T.first.stage=res[8,1],T.second.stage.rep=res[9,1],T.second.stage.joint=res[10,1],E.Disease.freq.cases1=res[11,1],E.Disease.freq.controls1=res[12,1],E.Disease.freq.cases2=res[13,1],E.Disease.freq.controls2=res[14,1],options=options)
class(result)<-"CATS"
return(result)
}
curve.cats<-function(RR,MAF,rep=1536,SNPs=1E6,ncases,ncontrols,ncases2,ncontrols2,alpha=0.05/SNPs,...){
powerList.O<-c()
powerList.J<-c()
powerList.R<-c()
powerList.F<-c()
power.O<-rep(0,length(RR))
power.F<-rep(0,length(RR))
power.J<-rep(0,length(RR))
power.R<-rep(0,length(RR))
for(nmaf in 1:length(MAF)){
for(tal in 1:length(RR)){
if(power.F[tal]>0.995&power.R[tal]>0.995){
power.O[tal]<-1
power.R[tal]<-1
power.J[tal]<-1
power.F[tal]<-1
break
}
tempo<-cats(risk=RR[tal],freq=MAF[nmaf],ncases=ncases,ncontrols=ncontrols,ncases2=ncases2,ncontrols2=ncontrols2,alpha=alpha,pimarkers=rep/SNPs,...)
power.O[tal]<-tempo$Pone.study
power.J[tal]<-tempo$Pjoint
power.R[tal]<-tempo$Prep.study
power.F[tal]<-tempo$Pfirst.stage
}
powerList.O<-cbind(powerList.O,power.O)
powerList.J<-cbind(powerList.J,power.J)
powerList.R<-cbind(powerList.R,power.R)
powerList.F<-cbind(powerList.F,power.F)
cat(nmaf," ")
}
cat("\n")
obs<-list(powerList.O=powerList.O,powerList.J=powerList.J,powerList.R=powerList.R,powerList.F=powerList.F,RR=RR,MAF=MAF,ncases=ncases,ncontrols=ncontrols,ncases2=ncases2,ncontrols2=ncontrols2,rep=rep,curve=T)
class(obs)<-"supercats"
return(obs)
}
lines.cats<-function(x,type="Replication",col=NULL,lty=2,...){
if(type=="Joint")
power<-x$powerList.J
else if(type=="One")
power<-x$powerList.O
else if(type=="Replication")
power<-x$powerList.R
else if(type=="First")
power<-x$powerList.F
if(x$curve){
if(is.null(col))
col=1:length(x$MAF)
for(nmaf in 1:length(x$MAF))
lines(x$RR,power[,nmaf],col=col[nmaf],lwd=2,lty=lty)
}
else
cat("only for curves \n")
}
rr <- seq(1,2,by=0.05)
maf <- c(0.05,0.1,0.2,0.5)
c2 <- curve.cats(rr,maf,ncases=600,ncontrols=600,ncases2=600,ncontrols2=600, alpha=0.000001,prevalence=0.01);
plot(c2,type="One",main="power2",ylab="Power",xlab="RR",file=NULL,col=1:4)
lines.cats(c2,type="Replication",lty=3)
lines.cats(c2,type="Joint",lty=2)
lines.cats(c2,type="First",lty=4)
legend("left",c("One stage","Joint","Relication","First Stage"),lty=1:4,bty="n")
###
lines.cats<-function(x,type="Replication",col=NULL,lty=2,...){
if(type=="Joint")
power<-x$powerList.J
else if(type=="One")
power<-x$powerList.O
else if(type=="Replication")
power<-x$powerList.R
else if(type=="First")
power<-x$powerList.F
if(x$curve){
if(is.null(col))
col=1:length(x$MAF)
for(nmaf in 1:length(x$MAF))
lines(x$RR,power[,nmaf],col=col[nmaf],lwd=2,lty=lty)
}
else
cat("only for curves \n")
}
####
plot.supercats<-function(x,type="Joint",file="power.pdf",col=NULL,main=paste("POWER N=",x$ncases,":",x$ncontrols,",",x$ncases2,":",x$ncontrols2," rep=",x$rep,sep=""),...){
if(type=="Joint")
power<-x$powerList.J
else if(type=="One")
power<-x$powerList.O
else if(type=="Replication")
power<-x$powerList.R
else if(type=="First")
power<-x$powerList.F
if(!is.null(file))
pdf(file)
#curve
if(x$curve){
if(is.null(col))
col=1:length(x$MAF)
plot(x$RR,power[,1],ylim=c(0,1),main=main,col="transparent",...)
for(nmaf in 1:length(x$MAF)){
lines(x$RR,power[,nmaf],col=col[nmaf],lwd=2)
}
legend(min(x$RR),1,paste("MAF=",x$MAF),col=col,lwd=2,bty="n")
}
else{
#image
if(is.null(col))
col=heat.colors(80)
image(x$RR,x$MAF,power,col=col,main=main,log="y",ylim=c(0.005,.5),ylab="MAF",xlab="RR",...)
legend("topright",paste(1:10*10,"%"),fill=col[1:10*8],bty="n")
}
if(!is.null(file))
dev.off()
}
####
.onLoad=function(libname, pkgname)
{
library.dynam("CATS", pkgname, libname)
}
.onUnload=function(libpath)
{
library.dynam.unload("CATS", libpath)
}
####
"summary.CATS" <-
function(object, ...){
if (!inherits(object, "CATS"))
stop("Not an object of class CATS!")
cat("Options \n")
ob<-t(object$options)
colnames(ob)<-"chosen"
print(ob)
cat("Recommended thresholds:")
print(structure(list("One stage Design"=object$T.one.study,"Stage 1 Threshold"=object$T.first.stage,"Replication Threshold"=object$T.second.stage.rep,"Joint Analysis Threshold"=object$T.second.stage.joint),class="power.htest"))
cat("Eobjectpected disesase allele frequencies")
print(structure(list("Cases in stage 1"=object$E.Disease.freq.cases1,"Controls in stage 1 "=object$E.Disease.freq.controls1,"Cases in stage 2"=object$E.Disease.freq.cases2,"Controls in stage 2"=object$E.Disease.freq.controls2),class="power.htest"))
cat("Expected Power is:")
print(structure(list("For a one-stage study" = signif(object$P.one.study,
3), "For first stage in two-stage study" = signif(object$P.first.stage,
3), "For second stage in replication analysis" = signif(object$P.rep.study,
3), "For second stage in a joint analysis" = signif(object$P.joint,
3), pi = signif(object$pi, 3)), class = "power.htest"))
}
###
"print.CATS" <-
function(x, ...){
if(!inherits(x,"CATS"))
stop("Not an object of class CATS!")
cat("Expected Power is;\n")
print(structure(list("For a one-stage study"=signif(x$P.one.study,3),"For first stage in two-stage study"=signif(x$P.first.stage,3),"For second stage in replication analysis"=signif(x$P.rep.study,3),"For second stage in a joint analysis"=signif(x$P.joint,3),"pi"=signif(x$pi,3)),class="power.htest"))
}
###
"cats" <-
function (freq=0.5,freq2=-1,ncases=500,ncontrols=500,ncases2=500,ncontrols2=500,risk=1.5,risk2=-1,pisamples=-1,prevalence=0.1,prevalence2=-1,additive=0,recessive=0,dominant=0,multiplicative=1,alpha=0.0000001,pimarkers=0.00316)
{
model<-c(additive,recessive,dominant,multiplicative)
if(sum(model==1)!=1)
stop("chose only one model. e.i. one model must be 1 the others 0")
if(sum(model==0)!=3)
stop("chose only one model. e.i. one model must be 1 the others 0")
if(freq<0|freq>1)
stop("freq must be between 0 and 1")
if((freq2<0|freq2>1)&freq2!=-1)
stop("freq2 must be between 0 and 1 (or undefined as -1)")
if((pisamples<0|pisamples>1)&pisamples!=-1)
stop("pisamples must be between 0 and 1")
if((prevalence2<0|prevalence2>1)&prevalence2!=-1)
stop("prevalence2 must be between 0 and 1 (or undefined as -1)")
if(alpha<0|alpha>1)
stop("alpha must be between 0 and 1")
if(prevalence<0|prevalence>1)
stop("prevalence must be between 0 and 1")
if(pimarkers<0|pimarkers>1)
stop("pimarkers must be between 0 and 1")
if(ncases!=as.integer(ncases)|ncases<0)
stop("ncases must be a positive integer")
if(ncases2!=as.integer(ncases2)|ncases2<0)
stop("ncases2 must be a positive integer")
if(ncontrols!=as.integer(ncontrols)|ncontrols<0)
stop("ncontrols must be a positive integer")
if(ncontrols2!=as.integer(ncontrols2)|ncontrols2<0)
stop("ncontrols2 must be a positive integer")
if(risk<0)
stop("risk must be positive")
if(risk2<0&risk2!=-1)
stop("risk2 must be positive(or undefined as -1)")
res<-.Call("cats",
as.double(freq),as.double(freq2),as.integer(ncases),as.integer(ncontrols),
as.integer(ncases2),as.integer(ncontrols2),as.double(risk),as.double(risk2),
as.double(pisamples),as.double(prevalence),as.double(prevalence2),
as.integer(additive),as.integer(recessive),as.integer(dominant),
as.integer(multiplicative),as.double(alpha),as.double(pimarkers),PACKAGE="CATS")
options<-cbind(freq,freq2,ncases=ncases,ncontrols=ncontrols,ncases2=ncases2,ncontrols2=ncontrols2,risk,risk2,pisamples,prevalence,prevalence2,additive,recessive,dominant,multiplicative,alpha,pimarkers)
result<-list(P.one.study=res[1,1],P.first.stage=res[2,1],P.rep.study=res[3,1],P.joint.min=res[4,1],P.joint=res[5,1],pi=res[6,1],T.one.study=res[7,1],T.first.stage=res[8,1],T.second.stage.rep=res[9,1],T.second.stage.joint=res[10,1],E.Disease.freq.cases1=res[11,1],E.Disease.freq.controls1=res[12,1],E.Disease.freq.cases2=res[13,1],E.Disease.freq.controls2=res[14,1],options=options)
class(result)<-"CATS"
return(result)
}
#### EXAMPLE
rr<-seq(1,2,by=0.05)
maf<-c(0.05,0.1,0.2,0.5)
c2<-curve.cats(rr,maf,ncases=600,ncontrols=600,ncases2=600,
ncontrols2=600,alpha=0.000001,prevalence=0.01)
plot(c2,type="One",main="power2",ylab="Power",xlab="RR",file=NULL,col=1:4)
lines.cats(c2,type="Replication",lty=3)
lines.cats(c2,type="Joint",lty=2)
lines.cats(c2,type="First",lty=4)
legend("left",c("One stage","Joint","Relication","First Stage"),lty=1:4,bty="n")
但是我收到以下错误：
Error in .Call("cats", as.double(freq), as.double(freq2), as.integer(ncases), : "cats" not available for .Call() for package "CATS" Called from: cats(risk = RR[tal], freq = MAF[nmaf], ncases = ncases, ncontrols = ncontrols,
ncases2 = ncases2, ncontrols2 = ncontrols2, alpha = alpha,
pimarkers = rep/SNPs, ...)
我试图修改代码，但是我更改它的次数越多，出现的错误就越多。在这一点上，我会感激任何帮助。
从R：
安装软件包时获得的更新install.packages("CATS_1.02.tar.gz")
Warning in install.packages : package ‘CATS_1.02.tar.gz’ is not available (for R version 3.4.1)
library(CATS) Error in library(CATS) : there is no package called ‘CATS’
更新：使用R CMD INSTALL CATS_1.02.tar.gz从命令行安装时出错：
adris-imac:Desktop gwallace$ R CMD INSTALL CATS_1.02.tar.gz
* installing to library ‘/Library/Frameworks/R.framework/Versions/3.4/Resources/library’
* installing *source* package ‘CATS’ ...
** libs clang -I/Library/Frameworks/R.framework/Resources/include -DNDEBUG -I/usr/local/include -fPIC -Wall -g -O2 -c CATS.c -o CATS.o In file included from CATS.c:4: ./cats.h:196:27: warning: '&&' within '||' [-Wlogical-op-parentheses] if (z > LOWER_TAIL_ONE && !upper || z > UPPER_TAIL_ZERO)
~~~~~~~~~~~~~~~~~~~^~~~~~~~~ ~~ ./cats.h:196:27: note: place parentheses around the '&&' expression to silence
this warning if (z > LOWER_TAIL_ONE && !upper || z > UPPER_TAIL_ZERO)
^
( ) CATS.c:86:7: error: non-void function 'cats' should return a value
[-Wreturn-type]
return ;
^ CATS.c:106:7: error: non-void function 'cats' should return a value
[-Wreturn-type]
return ;
^ CATS.c:133:7: error: non-void function 'cats' should return a value
[-Wreturn-type]
return ;
^ 1 warning and 3 errors generated. make: *** [CATS.o] Error 1 ERROR: compilation failed for package ‘CATS’
* removing ‘/Library/Frameworks/R.framework/Versions/3.4/Resources/library/CATS’ adris-imac:Desktop gwallace$
答案 0 :(得分：1)
看起来代码正在破裂：
res<-.Call("cats",
as.double(freq),as.double(freq2),as.integer(ncases),as.integer(ncontrols),
as.integer(ncases2),as.integer(ncontrols2),as.double(risk),as.double(risk2),
as.double(pisamples),as.double(prevalence),as.double(prevalence2),
as.integer(additive),as.integer(recessive),as.integer(dominant),
as.integer(multiplicative),as.double(alpha),as.double(pimarkers))
.Call用于调用外部C / C ++代码：
https://stat.ethz.ch/R-manual/R-devel/library/base/html/CallExternal.html
如果没有此代码，R脚本将无效。
我也测试了包的安装，似乎安装得很好：
> install.packages("CATS_1.02.tar.gz")
> library(CATS)
> R.version
platform x86_64-redhat-linux-gnu
arch x86_64
os linux-gnu
system x86_64, linux-gnu
status
major 3
minor 4.1
year 2017
month 06
day 30
svn rev 72865
language R
version.string R version 3.4.1 (2017-06-30)
nickname Single Candle
> CATS::cats()
$P.one.study
[1] 0.961869
$P.first.stage
[1] 0.9806984
$P.rep.study
[1] 0.8297875
$P.joint.min
[1] 0.9999998
$P.joint
[1] 0.9529604
$pi
[1] 0.5
$T.one.study
[1] 5.326724
$T.first.stage
[1] 2.951729
$T.second.stage.rep
[1] 4.000192
$T.second.stage.joint
[1] 5.30794
$E.Disease.freq.cases1
[1] 0.6
$E.Disease.freq.controls1
[1] 0.4888889
$E.Disease.freq.cases2
[1] 0.6
$E.Disease.freq.controls2
[1] 0.4888889
$options
freq freq2 ncases ncontrols ncases2 ncontrols2 risk risk2 pisamples prevalence prevalence2 additive recessive dominant multiplicative alpha pimarkers
[1,] 0.5 -1 500 500 500 500 1.5 -1 -1 0.1 -1 0 0 0 1 1e-07 0.00316
attr(,"class")
[1] "CATS"
根据最新的clang错误，请尝试：
R CMD INSTALL --configure-args="CFLAGS=-Wno-return-type CXXFLAGS=-Wno-return-type" CATS_1.02.tar.gz
还尝试将以下内容添加到~/.R/Makevars：
CFLAGS=-Wno-return-type
CXXFLAGS=-Wno-return-type
然后重新安装包：
R CMD INSTALL --clean --preclean CATS_1.02.tar.gz