### Shapiro test This function provide the Shapiro Wilk test is a test of normality of each pairwise
### comparison of sample groups. file The connection to the data file. A result with Shapiro Wilk
### test
shapiro <- function(file) {
pwdfile = paste(getwd(), "/Univariate/DataTable.csv", sep = "")
file = pwdfile
x <- read.csv(file, sep = ",", header = TRUE)
x.x = x[, 3:ncol(x)]
rownames(x.x) = x[, 2]
k = matrix(x[, 1], ncol = 1)
slink = paste(getwd(), "/DataPretreatment", "/slink.csv", sep = "")
slink = read.csv(slink, header = TRUE)
x.n = cbind(k, x.x)
sorted = x.n[order(x.n[, 1]), ]
g = c()
for (i in 1:nrow(sorted)) {
if (any(g == sorted[i, 1])) {
g = g
} else {
g = matrix(c(g, sorted[i, 1]), ncol = 1)
}
}
dirout.r = paste(getwd(), "/Univariate/Groups", sep = "")
dir.create(dirout.r)
dirout.s = paste(getwd(), "/Univariate/Shapiro_Tests", sep = "")
dir.create(dirout.s)
for (i in 1:nrow(g)) {
vuota <- c()
fin = matrix(rep(NA, ncol(sorted)), nrow = 1)
for (j in 1:nrow(sorted)) {
if (sorted[j, 1] == i) {
vuota <- matrix(sorted[j, ], nrow = 1)
rownames(vuota) = rownames(sorted)[j]
fin = rbind(fin, vuota)
}
}
nam = paste("r", ExcName(i, slink), sep = ".")
n = matrix(fin[-1, ], ncol = ncol(sorted))
n.x = matrix(n[, -1], ncol = ncol(sorted) - 1)
lastcol = ncol(sorted)
n.x = n.x[, -lastcol]
colnames(n.x) = colnames(x.x)
name = as.matrix(assign(nam, n.x))
shapname = paste("shapiro", ExcName(i, slink), sep = ".")
shapiro = matrix(rep(NA, ncol(n.x)))
for (q in 1:ncol(name)) {
notAlist = c()
notAlist = matrix(unlist(name[, q]))
if (diff(range(notAlist)) == 0) {
shapiro[q, ] = NA
} else {
shapiro[q, ] = shapiro.test(as.numeric(notAlist))$p.value
}
assign(shapname, shapiro)
}
outputfile = paste("r.", ExcName(i, slink), ".csv", sep = "")
write.csv(name, paste(dirout.r, outputfile, sep = "/"))
outshapiro = paste("ShapiroTest.", ExcName(i, slink), ".csv", sep = "")
shapiro[is.na(shapiro)] = 1
write.csv(shapiro, paste(dirout.s, outshapiro, sep = "/"))
}
}
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