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29.82
3.16
38.48
20.82
0.09
41.09
2.97
0.1
23.05
8.46
9.31
0.37
1.32
154.7
0.28
9.4
11.06
10.05
0.06
0.74
10.5
3.83
2
198.66
0.03
0.41
7.28
16.46
9.85
0.49
14.86
21.7
34.84
0.06
4.53
12.45
17.46
1408.04
47.7
0.72
4.34
65.7
4.8
19.84
4.31
11.27
1.13
10.66
5.6
0.86
0.07
10.28
15.49
80.72
6.3
0.74
6.13
1.29
91.73
0.88
5.41
63.98
0.24
0.27
1.63
1.79
4.36
82.8
25.37
11.12
0.1
0.46
15.08
11.45
1.66
0.8
10.17
7.94
9.98
1236.69
246.86
76.42
32.78
4.58
7.64
60.92
2.77
127.25
7.01
16.27
43.18
24.76
49
3.25
5.47
6.65
2.06
4.65
2.05
4.19
6.16
3.03
0.52
2.11
22.29
15.91
29.24
14.85
0.4
3.8
1.24
120.85
3.51
2.8
0.62
0
32.52
25.2
52.8
2.26
0.01
27.47
16.71
0.25
4.46
5.99
17.16
168.83
4.99
3.31
179.16
3.8
7.17
6.69
29.99
96.71
38.21
10.6
2.05
0.86
21.76
143.17
11.46
0.05
0.18
0.11
0.19
0.19
28.29
13.73
9.55
5.98
5.3
5.45
2.07
0.55
10.2
52.39
46.76
21.1
0.54
1.23
9.51
8
21.89
8.01
47.78
66.78
1.11
6.64
0.1
1.34
10.88
74
5.17
36.35
45.53
63.03
9.206
317.5
3.4
28.54
29.96
90.8
0.01
23.85
14.08
13.72

par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
barplot(mytab <- sort(table(x),T),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Histogram)',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}