Description Usage Arguments Examples
censor
requests a data frame with at lease three columns, stimulus
type (S factor), response/accumulator type (R factor) and response time
(RT, double) as input data
. It adding a boolean
column by scoring R column against S column. This produces a C column.
Otherwise plots each response. When NAs occur, censor
reports a
summary of p(NA).
1 |
x |
a data frame for a design cell. |
xlim |
the lower and upper boundaries for censoring |
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 | 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)
## 1. xlim=c(.2, 3) defines the censored lower and upper bounds at .2 s and
## 3 s
## 2. mdi1[mdi1$S=="s1", ] extracts the data frame with rows/trials equal to
## "s1".
mdi1.s1 <- mdi1[mdi1$S=="s1", ]
censored.s1 <- censor(mdi1.s1, xlim=c(.2, 3))
head(censored.s1)
## Below is printed by dplyr::tbl_df(censored.s1)
## Source: local data frame [94 x 3]
## S R RT
## (fctr) (fctr) (dbl)
## 1 s1 r2 0.3370070
## 2 s1 r1 0.2956996
## 3 s1 r2 0.2128732
## 4 s1 r1 0.3710657
## 5 s1 r2 0.3083122
## 6 s1 r2 0.2997714
## 7 s1 r1 0.4123926
## 8 s1 r1 0.2356586
## 9 s1 r2 0.4721079
## 10 s1 r2 0.3524906
## .. ... ... ...
|
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