Description Usage Arguments Examples
Create a contour plots of a likelihood function
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | simple.contour(
data.ld,
distribution,
xlim = c(NA, NA),
ylim = c(NA, NA),
size = 100,
static = F,
quantile = NA,
show.confidence = TRUE,
contour.indicators = NULL,
zoom.level = 3.5,
show.mle = T,
my.title = NULL,
threeD = F,
direction = NULL,
profile = NULL,
lwd = 1,
elevation = NULL,
distance = NULL,
original.par = T,
log.quantile = F,
log.axis = T,
add = F,
...
)
|
data.ld |
|
distribution |
|
xlim |
|
ylim |
|
size |
|
quantile |
|
show.confidence |
|
contour.indicators |
|
zoom.level |
|
show.mle |
|
my.title |
|
threeD |
|
direction |
|
profile |
|
lwd |
|
elevation |
|
distance |
|
original.par |
|
log.quantile |
|
log.axis |
|
add |
|
... |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | ## Not run:
ShockAbsorber.ld <- frame.to.ld(shockabsorber,
response.column = 1,
censor.column = 3,
time.units = "Kilometers")
simple.contour(ShockAbsorber.ld,
distribution = "lognormal",
show.confidence = T)
simple.contour(ShockAbsorber.ld,
distribution = "lognormal",
show.confidence = T,
threeD = T)
bulb.ld <- frame.to.ld(bulb,
response.column = 1,
data.title = "Bulb Data",
time.units = "Hours")
mlest(bulb.ld,"lognormal")
simple.contour(bulb.ld,"lognormal", quantile = .5)
# Bearing Cage Data Set
BearingCage.ld <- frame.to.ld(bearingcage,
response.column = 1,
censor.column = 2,
case.weight.column = 3,
time.units = "Hours")
simple.contour(BearingCage.ld,
distribution = "Weibull",
zoom.level = 4,
quantile = .1,
threeD = TRUE)
simple.contour(BearingCage.ld,
distribution = "Weibull",
zoom.level = 4,
profile = "x")
simple.contour(BearingCage.ld,
distribution = "Weibull",
zoom.level = 4,
profile = "y")
simple.contour(BearingCage.ld,
distribution = "Weibull",
threeD = T,
zoom.level = 3,
size = 75)
## End(Not run)
|
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