Nothing
## ----setup, include = FALSE---------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## -----------------------------------------------------------------------------
library(gexp)
crd <- gexp(mu = 15,
err = matrix(rep(0, 6),
nrow = 6),
r = 3,
fe = list(alpha = c(1, -2)))
summary(crd)
## -----------------------------------------------------------------------------
crd_mv <- gexp(mu = c(15, 6),
err = matrix(c(0, 0,
0, 0,
0, 0,
0, 0,
0, 0,
0, 0),
ncol = 2),
r = 3L,
fe = list(alpha = matrix(c(1, -2,
2, 3),
ncol = 2)))
summary(crd_mv)
## -----------------------------------------------------------------------------
rcbd <- gexp(mu = 15,
r = 1,
err = matrix(rep(0, 6),
nrow = 6),
fe = list(alpha = c(1, -2)),
blke = c(2, 4, 6),
design = 'RCBD')
summary(rcbd)
## -----------------------------------------------------------------------------
lsd <- gexp(mu = 15,
r = 1,
err = matrix(rep(0, 9),
nrow = 9),
fe = list(alpha = c(1, -2, 3)),
rowe = c(2, 3, 4),
cole = c(6, 7, 8),
design = 'LSD')
summary(lsd)
## -----------------------------------------------------------------------------
FE_crd <- gexp(mu = 15,
r = 2,
err = matrix(rep(0, 12),
nrow = 12),
fe = list(alpha = c(1, -2),
tau = c(1, -1, 1)),
inte = c(3, 1, 1,
-5, 1, 1),
type = 'FE')
summary(FE_crd)
## -----------------------------------------------------------------------------
SPE_crd <- gexp(mu = 15,
err = matrix(rep(0, 12),
nrow = 12),
errp = matrix(rep(0, 6),
nrow = 6),
r = 3,
fe = list(alpha = c(1, -2),
tau = c(1, -1)),
inte = c(3, 1, 1, -5),
type = 'SPE')
summary(SPE_crd)
## -----------------------------------------------------------------------------
level <- seq(0, 15, 5)
cont_crd <- matrix(c(level,
level^2,
level^3),
ncol = 3)
crd_l <- gexp(mu = 2,
r = 3,
err = matrix(rep(0,12),
nrow = 12),
fe = list(f1 = c(3, 0, 0)),
fl = list(dose = level),
contrasts = list(dose = cont_crd))
summary(crd_l)
## ----echo=FALSE, results='hide'-----------------------------------------------
with(crd_l$dfm,
plot(Y1 ~ dose,
axes = FALSE,
ylim = c(0,50),
xlab = 'dose'))
axis(1, pos = 0)
axis(2, pos = 0)
abline(h = 2, col = 'red')
abline(2, 3, col = 'red', lty = 2)
text(-0.5,2,'2',col = 'red', xpd = TRUE)
## -----------------------------------------------------------------------------
crd_q <- gexp(mu = 2,
r = 3,
err = matrix(rep(0,12),
nrow = 12),
fe = list(f1 = c(3, 4, 0)),
fl = list(dose = level),
contrasts = list(dose = cont_crd))
summary(crd_q)
## ----echo=FALSE, results='hide'-----------------------------------------------
with(crd_q$dfm,
plot(Y1 ~ dose,
axes = FALSE,
xlab = 'dose'))
axis(1, pos = 0)
axis(2, pos = 0)
curve(2+3*x+4*x^2, col = 'red', lty = 2, add=T)
text(-0.5,2,'2',col = 'red', xpd = TRUE)
## -----------------------------------------------------------------------------
level2 <- seq(2,8,2)
cont_crd2 <- matrix(c(level2,level2^2,level2^3),
ncol = 3)
crd_hb <- gexp(mu = 1,
r = 2,
err = matrix(rep(0,32),
nrow = 32),
fe = list(f1 = c(3, 0, 0),
f2 = c(2, 0, 0)),
fl = list(N = level,
P = level2),
inte = c(6,0,0,0,0,0,0,0,0),
contrasts = list(N = cont_crd,
P = cont_crd2),
type = 'FE')
summary(crd_hb)
## ----echo=FALSE, results='hide'-----------------------------------------------
z <- matrix(crd_hb$dfm$Y1,
ncol = 4,
byrow = FALSE)[seq(1,8,2),]
persp(level,
level2,
z,
theta=30,
xlab='N',
ylab='P',
col='red')
## -----------------------------------------------------------------------------
crd_hb2 <- gexp(mu = 1,
r = 2,
err = matrix(rep(0,32),
nrow = 32),
fe = list(f1 = c(3, 2, 0),
f2 = c(2, 3, 0)),
fl = list(N = level,
P = level2),
inte = c(2,1,0,1,8,0,0,0,0),
contrasts = list(N = cont_crd,
P = cont_crd2),
type = 'FE')
summary(crd_hb2)
## ----echo=FALSE, results='hide'-----------------------------------------------
z1 <- matrix(crd_hb2$dfm$Y1,
ncol=4,
byrow=FALSE)[seq(1,8,2),]
persp(level,
level2,
z1,
theta=30,
xlab='N',
ylab='P',
col='red')
## -----------------------------------------------------------------------------
crd_design <- gexp()
plot(crd_design)
## -----------------------------------------------------------------------------
rcbd_designs <- gexp(r = 1,
design = 'RCBD')
## ----fig.width = 7, fig.height = 7--------------------------------------------
plot(rcbd_designs)
## -----------------------------------------------------------------------------
rcbd_designc <- gexp(r = 2,
design = 'RCBD')
## ----fig.width = 7, fig.height = 7--------------------------------------------
plot(rcbd_designc)
## -----------------------------------------------------------------------------
lsd_design <- gexp(r = 1,
design = 'LSD')
## ----fig.width = 7, fig.height = 7--------------------------------------------
plot(lsd_design)
## -----------------------------------------------------------------------------
fat_design <- gexp(r = 3,
type = 'FE')
## ----fig.width = 7, fig.height = 7--------------------------------------------
plot(fat_design)
## -----------------------------------------------------------------------------
split_design <- gexp(r = 3,
type = 'SPE')
summary(split_design)
## ----fig.width = 7, fig.height = 7--------------------------------------------
plot(split_design)
## ----eval=FALSE---------------------------------------------------------------
# crd_plot <- gexp(r = 3,
# fe = list(f1 = rep(1,2)))
# plot(crd_plot,
# dynamic = TRUE)
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