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#create unsorted Pareto chart | |
#depend on library qcc | |
pareto.chart2 <- function (x, unsorted=TRUE, | |
ylab = "Frequency", ylab2 = "Cumulative Percentage", | |
xlab, cumperc = seq(0, 100, by = 25), ylim, main, col = heat.colors(length(x)), | |
plot = TRUE, ...) | |
{ | |
call <- match.call(expand.dots = TRUE) | |
varname <- deparse(substitute(x)) | |
x <- as.table(x) |
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nihongo <- function (family = "HiraKakuPro-W3"){ | |
old =par(family = family) | |
return(old) | |
} |
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cpy <- function(a){ | |
if(is.data.frame(a) | is.matrix(a)){ write.table(a, pipe("pbcopy"), sep="\t", row.names=FALSE, quote=FALSE) | |
}else write.table(t(a), pipe("pbcopy"), sep="\t", row.names=FALSE, quote=FALSE) | |
} |
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cpy <- function(a){ | |
if(is.data.frame(a) | is.matrix(a)){ write.table(a, file="clipboard", sep="\t", row.names=FALSE, quote=FALSE) | |
}else write.table(t(a), file="clipboard", sep="\t", row.names=FALSE, quote=FALSE) | |
} |
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hatena <- function(x){ | |
cn1 <- NULL | |
if(!is.null(colnames(x))) cn1 <- paste("|*",colnames(x)) | |
dim1 <- dim(x) | |
x <- apply(x, 2,as.character) | |
x <- paste("|",x) | |
dim(x) <- dim1 | |
if(is.null(cn1)){ | |
write.table(x, quote=FALSE,col.names=FALSE, row.names=FALSE, eol="|\n") | |
}else{ |
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histcol <-function(hst, from, to, col="cornflowerblue"){ | |
bw<-diff(hst$breaks)[1] | |
part<-c(from,to) | |
xv <-seq(part[1],part[2],bw) | |
yv <- hst$counts[hst$breaks[-length(hst$breaks)] %in% xv] | |
for(k in 1:(length(xv)-1)){ | |
polygon(sort(rep(xv[k:(k+1)], 2)), c(0,rep(yv[k], 2),0), | |
col=col) | |
} | |
} |
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dnorm2 <- function(x, y, r=0.7){ | |
det <- 1- r^2 | |
return( | |
1/(2 * pi * sqrt(det)) * exp(-(x^2 -2 * r * y + y^2)/(2*det) ) | |
) | |
} |
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size_calc <-function(L,p,alpha=0.05){ | |
ceiling(((qnorm(alpha/2) ^ 2) *p*(1-p))/L^2) | |
} |
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CIset<-function(k, n, group=NULL, conf=0.95){ | |
rate = k/n | |
len <-length(k) | |
CI =sapply(1:len ,function(i){ | |
ans <- binom.test(k[i], n[i], conf.level =conf) | |
ans$conf.int[1:2]}) | |
data.frame(group =if(is.null(group)){LETTERS[1:len]}else{group}, | |
rate=rate, | |
upper = CI[1,], | |
lower = CI[2,]) |
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cdh <- function(sf, bw=NULL, digits =0, strata=1, col="white",main=NULL){ | |
if(class(sf)!="survfit"){ | |
cat("survfitオブジェクトを入れてください。\n") | |
} | |
if(is.null(sf$strata)){ | |
DT =sf$time | |
surv =sf$surv | |
}else{ | |
if(strata==1){ | |
DT =sf$time[1:sf$strata[1]] |
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