Description Usage Arguments Examples
A S3 method derived from stats density to get probability density for a specified experimental condition. The user has to indicate a correctness column.
1 2 |
x |
a data.cell as a data frame as welle dmc class, containing only one experimental condition. |
C |
a string, e.g., "r1" or a logical vector to represent the correctness column in a data frame |
... |
other arguments |
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 | model <- model.dmc(
p.map = list(a="1",v="1",z="1",d="1",sz="1",sv="1", t0="1",st0="1"),
constants = c(st0=0,d=0),
match.map = list(M=list(s1="r1",s2="r2")),
factors = list(S=c("s1","s2")),
responses = c("r1","r2"),
type = "rd")
pVec <- c(a=1,v=1, z=0.5, sz=0.25, sv=0.2,t0=.15)
dat1 <- simulate(model, nsim=1e2, p.vector=pVec)
mdi1 <- data.model.dmc(dat1, model)
censored.s1 <- censor(mdi1[mdi1$S=="s1", ], xlim=c(.2, 3))
s1r1.density <- density(censored.s1, C="r1")
head(s1r1.density)
## Source: local data frame [1,024 x 3]
## x y C
## (dbl) (dbl) (lgl)
## 1 0.02077313 0.004432689 TRUE
## 2 0.02276278 0.004923698 TRUE
## 3 0.02475243 0.005480113 TRUE
## 4 0.02674208 0.006079448 TRUE
## 5 0.02873173 0.006731685 TRUE
## 6 0.03072138 0.007471079 TRUE
## 7 0.03271103 0.008265728 TRUE
## 8 0.03470068 0.009124208 TRUE
## 9 0.03669033 0.010097473 TRUE
## 10 0.03867998 0.011141091 TRUE
## .. ... ... ...
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