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R/EEw1s3.R
In daewr: Design and Analysis of Experiments with R
Defines functions
EEw1s3
Documented in
EEw1s3
EEw1s3 <- function(des='',randomize=FALSE) {
if (des=='') {
cat(" ", "\n")
cat("Catalog of D-efficient Estimation Equivalent RS","\n")
cat(" Designs for (1 wp factor and 3 sp factors) ","\n")
cat(" ", "\n")
cat(" Jones and Goos, JQT(2012) pp. 363-374","\n")
cat(" ", "\n")
cat(format("Design Name",width=11),format("whole plots",width=11),format("sub-plots/whole plot",width=21),"\n")
cat("----------------------------------------","\n")
cat(format("EE18R6WP", width=11),format(" 6",width=11),format(" 3",width=21),"\n")
cat(format("EE20R4WP", width=11),format(" 4",width=11),format(" 5",width=21),"\n")
cat(format("EE20R5WP", width=11),format(" 5",width=11),format(" 4",width=21),"\n")
cat(format("EE24R4WP", width=11),format(" 4",width=11),format(" 6",width=21),"\n")
cat(format("EE24R6WP", width=11),format(" 6",width=11),format(" 4",width=21),"\n")
cat(format("EE30R6WP", width=11),format(" 6",width=11),format(" 5",width=21),"\n")
cat(format("EE36R6WP", width=11),format(" 6",width=11),format(" 6",width=21),"\n")
cat(" ","\n")
cat("==> to retrieve a design type EEw1s3('EE18R6WP') etc.","\n")
} else if (des=='EE15R5WP') {v <- c(241, 391, 121, 132, 42, 147, 218, 98, 293, 374, 74, 314, 320, 305, 5)
Full <-expand.grid(WP=c(1:5),w1=c(-1,0,1),s1=c(-1,0,1),s2=c(-1,0,1),s3=c(-1,0,1))
EE <- Full[v, ]
rownames(EE)<- c(1:15)
if (randomize==TRUE) {#This orders the whole plots randomly
o<-c(rep(sample(1:5),each=3))
EE<-EE[order(order(o)), ]
rownames(EE)<-c(1:15)
#this randomizes subplots
s<-3
w<-5
rowp<-c(sample(1:s))
for (i in 1:(w-1)) {rowp<-c(rowp,i*s+sample(1:s))}
EE<-EE[order(rowp), ]
}
return(EE)
} else if(des=='EE16R4WP') { v <- c(17, 161, 209, 257, 74, 314, 26, 218, 243, 99, 291, 3, 312, 252, 120, 72)
Full <-expand.grid(WP=c(1:4),w1=c(-1,0,1),s1=c(-1,0,1),s2=c(-1,0,1),s3=c(-1,0,1))
EE <- Full[v, ]
rownames(EE)<- c(1:16)
if (randomize==TRUE) {#This orders the whole plots randomly
o<-c(rep(sample(1:4),each=4))
EE<-EE[order(order(o)), ]
rownames(EE)<-c(1:16)
#this randomizes subplots
s<-4
w<-4
rowp<-c(sample(1:s))
for (i in 1:(w-1)) {rowp<-c(rowp,i*s+sample(1:s))}
EE<-EE[order(rowp), ]
}
return(EE)
} else if(des=='EE18R6WP') { v <- c(316, 106, 400, 205, 142, 37, 521, 185, 437, 445, 151, 235, 551, 5, 551, 55, 391, 286)
Full <-expand.grid(WP=c(1:7),w1=c(-1,0,1),s1=c(-1,0,1),s2=c(-1,0,1),s3=c(-1,0,1))
EE <- Full[v, ]
rownames(EE)<- c(1:18)
if (randomize==TRUE) {#This orders the whole plots randomly
o<-c(rep(sample(1:6),each=3))
EE<-EE[order(order(o)), ]
rownames(EE)<-c(1:18)
#this randomizes subplots
s<-3
w<-6
rowp<-c(sample(1:s))
for (i in 1:(w-1)) {rowp<-c(rowp,i*s+sample(1:s))}
EE<-EE[order(rowp), ]
}
return(EE)
} else if(des=='EE20R4WP') {WP<-c(1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4)
w1<-c(-1.0000, -1.0000, -1.0000, -1.0000, -1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000,
1.0000, 1.0000, 1.0000, 1.0000, -0.2478, -0.2478, -0.2478, -0.2478, -0.2478)
s1<-c(-1, -1, 1, 1, -1, 1, -1, 0, 1, -1, -1, 0, -1, 1, 1, -1, 1, -1, 1, 0)
s2<-c(0, 1, 1, -1, -1, 0, 1, -1, 1, -1, 0, 1, -1, 1, -1, -1, 1, 1, -1, 0)
s3<-c(-1, 1, -1, 1, 0, -1, 0, -1, 1, 1, 1, 1, -1, -1, 0, 1, 1, -1, -1, 0)
EE<-data.frame(WP,w1,s1,s2,s3)
if (randomize==TRUE) {#This orders the whole plots randomly
o<-c(rep(sample(1:4),each=5))
EE<-EE[order(order(o)), ]
rownames(EE)<-c(1:20)
#this randomizes subplots
s<-5
w<-4
rowp<-c(sample(1:s))
for (i in 1:(w-1)) {rowp<-c(rowp,i*s+sample(1:s))}
EE<-EE[order(rowp), ]
}
return(EE)
} else if(des=='EE20R5WP') {v <- c(391, 91, 31, 271, 2, 362, 122, 302, 88, 238, 298, 13, 399, 204, 39, 279, 15, 330, 120, 180)
Full <-expand.grid(WP=c(1:5),w1=c(-1,0,1),s1=c(-1,0,1),s2=c(-1,0,1),s3=c(-1,0,1))
EE <- Full[v, ]
rownames(EE)<- c(1:20)
if (randomize==TRUE) {#This orders the whole plots randomly
o<-c(rep(sample(1:5),each=4))
EE<-EE[order(order(o)), ]
rownames(EE)<-c(1:20)
#this randomizes subplots
s<-4
w<-5
rowp<-c(sample(1:s))
for (i in 1:(w-1)) {rowp<-c(rowp,i*s+sample(1:s))}
EE<-EE[order(rowp), ]
}
return(EE)
} else if(des=='EE24R4WP') {v <- c(221, 17, 77, 161, 317, 29, 290, 2, 254, 242, 206, 86, 315, 63, 231, 291, 75, 111, 228, 108, 288, 144, 300, 12)
Full <-expand.grid(WP=c(1:4),w1=c(-1,0,1),s1=c(-1,0,1),s2=c(-1,0,1),s3=c(-1,0,1))
EE <- Full[v, ]
rownames(EE)<- c(1:24)
if (randomize==TRUE) {#This orders the whole plots randomly
o<-c(rep(sample(1:4),each=6))
EE<-EE[order(order(o)), ]
rownames(EE)<-c(1:24)
#this randomizes subplots
s<-6
w<-4
rowp<-c(sample(1:s))
for (i in 1:(w-1)) {rowp<-c(rowp,i*s+sample(1:s))}
EE<-EE[order(rowp), ]
}
return(EE)
} else if(des=='EE24R6WP') {v <- c(1, 145, 361, 433, 80, 404, 242, 242, 471, 39, 327, 111, 412, 412, 250, 88, 485, 53, 179, 125, 432, 396, 72, 270)
Full <-expand.grid(WP=c(1:6),w1=c(-1,0,1),s1=c(-1,0,1),s2=c(-1,0,1),s3=c(-1,0,1))
EE <- Full[v, ]
rownames(EE)<- c(1:24)
if (randomize==TRUE) {#This orders the whole plots randomly
o<-c(rep(sample(1:6),each=4))
EE<-EE[order(order(o)), ]
rownames(EE)<-c(1:24)
#this randomizes subplots
s<-4
w<-6
rowp<-c(sample(1:s))
for (i in 1:(w-1)) {rowp<-c(rowp,i*s+sample(1:s))}
EE<-EE[order(rowp), ]
}
return(EE)
} else if(des=='EE25R5WP') {v <- c(136, 91, 376, 31, 346, 402, 282, 207, 42, 102, 233, 398, 278, 83, 113, 49, 364, 259, 19, 304, 210, 135,
375, 315, 15)
Full <-expand.grid(WP=c(1:5),w1=c(-1,0,1),s1=c(-1,0,1),s2=c(-1,0,1),s3=c(-1,0,1))
EE <- Full[v, ]
rownames(EE)<- c(1:25)
if (randomize==TRUE) {#This orders the whole plots randomly
o<-c(rep(sample(1:5),each=5))
EE<-EE[order(order(o)), ]
rownames(EE)<-c(1:25)
#this randomizes subplots
s<-5
w<-5
rowp<-c(sample(1:s))
for (i in 1:(w-1)) {rowp<-c(rowp,i*s+sample(1:s))}
EE<-EE[order(rowp), ]
}
return(EE)
} else if(des=='EE30R6WP') {WP<-c(1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6 )
w1<-c(-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, -1, -1, -1,
-1, -1, 1, 1, 1, 1, 1)
s1<-c(0.1467, 0.4372, -0.9533, 0.9523, -0.8610, 0.7324, 0.6926, -0.8613, 0.1524, -0.9942, -1.0000,
-0.1228, 0.5316, -0.6869, 1.0000, 0.8588, -0.9366, 1.0000, 0.8337, 0.9420, -0.8481, 0.6643,
-0.8878, 0.8998, -0.1064, 1.0000, 0.1705, -0.7848, 0.9997, -0.8476)
s2<-c(0.9970, 0.7162, 0.0875, -0.8638, -0.9352, 0.8870, -0.7992, 0.8500, 0.0558, -0.9919, 0.9949,
-1.0000, 0.5110, -0.8674, 0.3632, -0.6348, 1.0000, -0.8105, 0.9934, -0.8724, 0.8085, -0.8940,
-0.8715, 0.9606, -0.0019, 0.8828, 1.0000, 0.9896, -0.9783, 0.8635)
s3<-c(-0.9659, 0.7165, 1.0000, 0.2234, -0.8596, -0.8207, 0.9175, 0.9220, 0.0277, -0.9321, -0.0126,
-1.0000, -0.7197, 0.8467, 1.0000, -1.0000, -1.0000, 0.9976, 0.5478, -0.9948, -0.8287, -0.8866,
0.9148, 0.9609, -0.0459, -0.9117, 0.9884, -0.8769, 0.9997, -0.9999)
EE<-data.frame(WP,w1,s1,s2,s3)
if (randomize==TRUE) {#This orders the whole plots randomly
o<-c(rep(sample(1:6),each=5))
EE<-EE[order(order(o)), ]
rownames(EE)<-c(1:30)
#this randomizes subplots
s<-5
w<-6
rowp<-c(sample(1:s))
for (i in 1:(w-1)) {rowp<-c(rowp,i*s+sample(1:s))}
EE<-EE[order(rowp), ]
}
return(EE)
} else if(des=='EE36R6WP') {WP<-c(1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6 )
w1<-c(0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0,
0, -1, -1, -1, -1, -1, -1)
s1<-c(0.53908, 0.76183, 0.85120, -0.65988, -0.94260, 0.96642, 0.47852, 0.53728, 0.32607,
-0.81904, -1.00000, -0.92735, 0.50225, -0.19625, -0.60576, 1.00000, 1.00000, 0.08923,
-0.58067, -0.16993, -0.94720, -0.96033, 0.92974, 0.32387, 0.92279, -1.00000, 0.87572,
-0.45357, 0.17111, 1.00000, -0.40728, -0.82531, -1.00000, -0.57218, 0.70431, 0.69594)
s2<-c(-0.79936, 0.89476, 0.42489, 0.63926, 0.88700, -0.37711, 0.88231, -0.76266, 0.16716,
-0.74521, -0.50252, 0.90081, -0.11153, 0.46263, 0.85752, -0.02876, 0.00745, 0.35810,
-0.93614, 1.00000, -0.10915, -0.20044, -0.63579, 0.82141, 0.39575, 0.65611, -1.00000,
1.00000, 0.00885, 0.60873, 0.90481, 0.28202, -0.54116, -0.71167, -0.80632, 0.81221)
s3<-c(-0.92414, 0.88755, -0.57336, 0.66455, 0.25221, -0.03008, -0.24680, 0.10316, 0.80028,
-0.72825, 1.00000, -0.66508, -0.75278, 0.70306, -0.60648, 0.89481, 0.90464, 1.00000,
-0.39641, 0.12134, -0.61963, 0.98790, 0.83953, -0.66942, 0.20694, 0.35728, -0.50765,
1.00000, -1.00000, 0.22016, -0.02109, 0.76701, -0.79858, -0.00717, 1.00000, -0.67686)
EE<-data.frame(WP,w1,s1,s2,s3)
if (randomize==TRUE) {#This orders the whole plots randomly
o<-c(rep(sample(1:6),each=6))
EE<-EE[order(order(o)), ]
rownames(EE)<-c(1:36)
#this randomizes subplots
s<-6
w<-6
rowp<-c(sample(1:s))
for (i in 1:(w-1)) {rowp<-c(rowp,i*s+sample(1:s))}
EE<-EE[order(rowp), ]
}
return(EE)
} else cat(" Design name misspelled-Enter EEw1s3( ) to display list of names","\n")
}
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Defines functions EEw1s3
Documented in EEw1s3
EEw1s3 <- function(des='',randomize=FALSE) {
if (des=='') {
cat(" ", "\n")
cat("Catalog of D-efficient Estimation Equivalent RS","\n")
cat(" Designs for (1 wp factor and 3 sp factors) ","\n")
cat(" ", "\n")
cat(" Jones and Goos, JQT(2012) pp. 363-374","\n")
cat(" ", "\n")
cat(format("Design Name",width=11),format("whole plots",width=11),format("sub-plots/whole plot",width=21),"\n")
cat("----------------------------------------","\n")
cat(format("EE18R6WP", width=11),format(" 6",width=11),format(" 3",width=21),"\n")
cat(format("EE20R4WP", width=11),format(" 4",width=11),format(" 5",width=21),"\n")
cat(format("EE20R5WP", width=11),format(" 5",width=11),format(" 4",width=21),"\n")
cat(format("EE24R4WP", width=11),format(" 4",width=11),format(" 6",width=21),"\n")
cat(format("EE24R6WP", width=11),format(" 6",width=11),format(" 4",width=21),"\n")
cat(format("EE30R6WP", width=11),format(" 6",width=11),format(" 5",width=21),"\n")
cat(format("EE36R6WP", width=11),format(" 6",width=11),format(" 6",width=21),"\n")
cat(" ","\n")
cat("==> to retrieve a design type EEw1s3('EE18R6WP') etc.","\n")
} else if (des=='EE15R5WP') {v <- c(241, 391, 121, 132, 42, 147, 218, 98, 293, 374, 74, 314, 320, 305, 5)
Full <-expand.grid(WP=c(1:5),w1=c(-1,0,1),s1=c(-1,0,1),s2=c(-1,0,1),s3=c(-1,0,1))
EE <- Full[v, ]
rownames(EE)<- c(1:15)
if (randomize==TRUE) {#This orders the whole plots randomly
o<-c(rep(sample(1:5),each=3))
EE<-EE[order(order(o)), ]
rownames(EE)<-c(1:15)
#this randomizes subplots
s<-3
w<-5
rowp<-c(sample(1:s))
for (i in 1:(w-1)) {rowp<-c(rowp,i*s+sample(1:s))}
EE<-EE[order(rowp), ]
}
return(EE)
} else if(des=='EE16R4WP') { v <- c(17, 161, 209, 257, 74, 314, 26, 218, 243, 99, 291, 3, 312, 252, 120, 72)
Full <-expand.grid(WP=c(1:4),w1=c(-1,0,1),s1=c(-1,0,1),s2=c(-1,0,1),s3=c(-1,0,1))
EE <- Full[v, ]
rownames(EE)<- c(1:16)
if (randomize==TRUE) {#This orders the whole plots randomly
o<-c(rep(sample(1:4),each=4))
EE<-EE[order(order(o)), ]
rownames(EE)<-c(1:16)
#this randomizes subplots
s<-4
w<-4
rowp<-c(sample(1:s))
for (i in 1:(w-1)) {rowp<-c(rowp,i*s+sample(1:s))}
EE<-EE[order(rowp), ]
}
return(EE)
} else if(des=='EE18R6WP') { v <- c(316, 106, 400, 205, 142, 37, 521, 185, 437, 445, 151, 235, 551, 5, 551, 55, 391, 286)
Full <-expand.grid(WP=c(1:7),w1=c(-1,0,1),s1=c(-1,0,1),s2=c(-1,0,1),s3=c(-1,0,1))
EE <- Full[v, ]
rownames(EE)<- c(1:18)
if (randomize==TRUE) {#This orders the whole plots randomly
o<-c(rep(sample(1:6),each=3))
EE<-EE[order(order(o)), ]
rownames(EE)<-c(1:18)
#this randomizes subplots
s<-3
w<-6
rowp<-c(sample(1:s))
for (i in 1:(w-1)) {rowp<-c(rowp,i*s+sample(1:s))}
EE<-EE[order(rowp), ]
}
return(EE)
} else if(des=='EE20R4WP') {WP<-c(1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4)
w1<-c(-1.0000, -1.0000, -1.0000, -1.0000, -1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000,
1.0000, 1.0000, 1.0000, 1.0000, -0.2478, -0.2478, -0.2478, -0.2478, -0.2478)
s1<-c(-1, -1, 1, 1, -1, 1, -1, 0, 1, -1, -1, 0, -1, 1, 1, -1, 1, -1, 1, 0)
s2<-c(0, 1, 1, -1, -1, 0, 1, -1, 1, -1, 0, 1, -1, 1, -1, -1, 1, 1, -1, 0)
s3<-c(-1, 1, -1, 1, 0, -1, 0, -1, 1, 1, 1, 1, -1, -1, 0, 1, 1, -1, -1, 0)
EE<-data.frame(WP,w1,s1,s2,s3)
if (randomize==TRUE) {#This orders the whole plots randomly
o<-c(rep(sample(1:4),each=5))
EE<-EE[order(order(o)), ]
rownames(EE)<-c(1:20)
#this randomizes subplots
s<-5
w<-4
rowp<-c(sample(1:s))
for (i in 1:(w-1)) {rowp<-c(rowp,i*s+sample(1:s))}
EE<-EE[order(rowp), ]
}
return(EE)
} else if(des=='EE20R5WP') {v <- c(391, 91, 31, 271, 2, 362, 122, 302, 88, 238, 298, 13, 399, 204, 39, 279, 15, 330, 120, 180)
Full <-expand.grid(WP=c(1:5),w1=c(-1,0,1),s1=c(-1,0,1),s2=c(-1,0,1),s3=c(-1,0,1))
EE <- Full[v, ]
rownames(EE)<- c(1:20)
if (randomize==TRUE) {#This orders the whole plots randomly
o<-c(rep(sample(1:5),each=4))
EE<-EE[order(order(o)), ]
rownames(EE)<-c(1:20)
#this randomizes subplots
s<-4
w<-5
rowp<-c(sample(1:s))
for (i in 1:(w-1)) {rowp<-c(rowp,i*s+sample(1:s))}
EE<-EE[order(rowp), ]
}
return(EE)
} else if(des=='EE24R4WP') {v <- c(221, 17, 77, 161, 317, 29, 290, 2, 254, 242, 206, 86, 315, 63, 231, 291, 75, 111, 228, 108, 288, 144, 300, 12)
Full <-expand.grid(WP=c(1:4),w1=c(-1,0,1),s1=c(-1,0,1),s2=c(-1,0,1),s3=c(-1,0,1))
EE <- Full[v, ]
rownames(EE)<- c(1:24)
if (randomize==TRUE) {#This orders the whole plots randomly
o<-c(rep(sample(1:4),each=6))
EE<-EE[order(order(o)), ]
rownames(EE)<-c(1:24)
#this randomizes subplots
s<-6
w<-4
rowp<-c(sample(1:s))
for (i in 1:(w-1)) {rowp<-c(rowp,i*s+sample(1:s))}
EE<-EE[order(rowp), ]
}
return(EE)
} else if(des=='EE24R6WP') {v <- c(1, 145, 361, 433, 80, 404, 242, 242, 471, 39, 327, 111, 412, 412, 250, 88, 485, 53, 179, 125, 432, 396, 72, 270)
Full <-expand.grid(WP=c(1:6),w1=c(-1,0,1),s1=c(-1,0,1),s2=c(-1,0,1),s3=c(-1,0,1))
EE <- Full[v, ]
rownames(EE)<- c(1:24)
if (randomize==TRUE) {#This orders the whole plots randomly
o<-c(rep(sample(1:6),each=4))
EE<-EE[order(order(o)), ]
rownames(EE)<-c(1:24)
#this randomizes subplots
s<-4
w<-6
rowp<-c(sample(1:s))
for (i in 1:(w-1)) {rowp<-c(rowp,i*s+sample(1:s))}
EE<-EE[order(rowp), ]
}
return(EE)
} else if(des=='EE25R5WP') {v <- c(136, 91, 376, 31, 346, 402, 282, 207, 42, 102, 233, 398, 278, 83, 113, 49, 364, 259, 19, 304, 210, 135,
375, 315, 15)
Full <-expand.grid(WP=c(1:5),w1=c(-1,0,1),s1=c(-1,0,1),s2=c(-1,0,1),s3=c(-1,0,1))
EE <- Full[v, ]
rownames(EE)<- c(1:25)
if (randomize==TRUE) {#This orders the whole plots randomly
o<-c(rep(sample(1:5),each=5))
EE<-EE[order(order(o)), ]
rownames(EE)<-c(1:25)
#this randomizes subplots
s<-5
w<-5
rowp<-c(sample(1:s))
for (i in 1:(w-1)) {rowp<-c(rowp,i*s+sample(1:s))}
EE<-EE[order(rowp), ]
}
return(EE)
} else if(des=='EE30R6WP') {WP<-c(1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6 )
w1<-c(-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, -1, -1, -1,
-1, -1, 1, 1, 1, 1, 1)
s1<-c(0.1467, 0.4372, -0.9533, 0.9523, -0.8610, 0.7324, 0.6926, -0.8613, 0.1524, -0.9942, -1.0000,
-0.1228, 0.5316, -0.6869, 1.0000, 0.8588, -0.9366, 1.0000, 0.8337, 0.9420, -0.8481, 0.6643,
-0.8878, 0.8998, -0.1064, 1.0000, 0.1705, -0.7848, 0.9997, -0.8476)
s2<-c(0.9970, 0.7162, 0.0875, -0.8638, -0.9352, 0.8870, -0.7992, 0.8500, 0.0558, -0.9919, 0.9949,
-1.0000, 0.5110, -0.8674, 0.3632, -0.6348, 1.0000, -0.8105, 0.9934, -0.8724, 0.8085, -0.8940,
-0.8715, 0.9606, -0.0019, 0.8828, 1.0000, 0.9896, -0.9783, 0.8635)
s3<-c(-0.9659, 0.7165, 1.0000, 0.2234, -0.8596, -0.8207, 0.9175, 0.9220, 0.0277, -0.9321, -0.0126,
-1.0000, -0.7197, 0.8467, 1.0000, -1.0000, -1.0000, 0.9976, 0.5478, -0.9948, -0.8287, -0.8866,
0.9148, 0.9609, -0.0459, -0.9117, 0.9884, -0.8769, 0.9997, -0.9999)
EE<-data.frame(WP,w1,s1,s2,s3)
if (randomize==TRUE) {#This orders the whole plots randomly
o<-c(rep(sample(1:6),each=5))
EE<-EE[order(order(o)), ]
rownames(EE)<-c(1:30)
#this randomizes subplots
s<-5
w<-6
rowp<-c(sample(1:s))
for (i in 1:(w-1)) {rowp<-c(rowp,i*s+sample(1:s))}
EE<-EE[order(rowp), ]
}
return(EE)
} else if(des=='EE36R6WP') {WP<-c(1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6 )
w1<-c(0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0,
0, -1, -1, -1, -1, -1, -1)
s1<-c(0.53908, 0.76183, 0.85120, -0.65988, -0.94260, 0.96642, 0.47852, 0.53728, 0.32607,
-0.81904, -1.00000, -0.92735, 0.50225, -0.19625, -0.60576, 1.00000, 1.00000, 0.08923,
-0.58067, -0.16993, -0.94720, -0.96033, 0.92974, 0.32387, 0.92279, -1.00000, 0.87572,
-0.45357, 0.17111, 1.00000, -0.40728, -0.82531, -1.00000, -0.57218, 0.70431, 0.69594)
s2<-c(-0.79936, 0.89476, 0.42489, 0.63926, 0.88700, -0.37711, 0.88231, -0.76266, 0.16716,
-0.74521, -0.50252, 0.90081, -0.11153, 0.46263, 0.85752, -0.02876, 0.00745, 0.35810,
-0.93614, 1.00000, -0.10915, -0.20044, -0.63579, 0.82141, 0.39575, 0.65611, -1.00000,
1.00000, 0.00885, 0.60873, 0.90481, 0.28202, -0.54116, -0.71167, -0.80632, 0.81221)
s3<-c(-0.92414, 0.88755, -0.57336, 0.66455, 0.25221, -0.03008, -0.24680, 0.10316, 0.80028,
-0.72825, 1.00000, -0.66508, -0.75278, 0.70306, -0.60648, 0.89481, 0.90464, 1.00000,
-0.39641, 0.12134, -0.61963, 0.98790, 0.83953, -0.66942, 0.20694, 0.35728, -0.50765,
1.00000, -1.00000, 0.22016, -0.02109, 0.76701, -0.79858, -0.00717, 1.00000, -0.67686)
EE<-data.frame(WP,w1,s1,s2,s3)
if (randomize==TRUE) {#This orders the whole plots randomly
o<-c(rep(sample(1:6),each=6))
EE<-EE[order(order(o)), ]
rownames(EE)<-c(1:36)
#this randomizes subplots
s<-6
w<-6
rowp<-c(sample(1:s))
for (i in 1:(w-1)) {rowp<-c(rowp,i*s+sample(1:s))}
EE<-EE[order(rowp), ]
}
return(EE)
} else cat(" Design name misspelled-Enter EEw1s3( ) to display list of names","\n")
}
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