Description Usage Arguments Value Author(s) References See Also Examples
This function computes standard kernel-based density functions for a response time data set with three or more conditions. In addition, it computes the pairwise differences for each pair of density functions.
1 | fpGet(dat, n = 512, bw = "nrd0")
|
dat |
n*2 dataframe or matrix with in col 1: RT (the values for which to compute the density); col 2: condition (an index) |
n |
the number of equally spaced points at which the density is to be estimated. See |
bw |
the smoothing bandwidth to be used. See |
an object of class fp1
, with the following components.
dens |
list of objects from class |
diff |
dataframe of the density differences |
dat |
dataframe with the input data |
Leendert van Maanen (l.vanmaanen@uva.nl)
Van Maanen, L. & Van Rijn, H (submitted). The fixed-point property in concurrent processing. Manuscript submitted for publication
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ### one data set or participant
## generate data
p <- c(.1,.5,.9)
rt <- sapply(1:3, function(i) {rnormMix(1000, c(1,2), c(1,1), p[i])})
dat <- data.frame(rt=c(rt), cond=rep(1:3, each=1000))
## compute one fp object
fpobject <- fpGet(dat, 1000, bw=.75)
### multiple participants
## generate data
p <- c(.1,.5,.9)
rt <- sapply(1:3, function(i) {rnormMix(10000, c(1,2), c(1,1), p[i])})
dat <- data.frame(rt=c(rt), cond=rep(1:3, each=10000), pp=rep(1:50, each=200, times=3))
## compute the list of fp1 objects
res <- tapply(1:nrow(dat), dat$pp, function(X) {fpGet(dat[X,], 1000, bw=.75)})
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