Description Usage Arguments Value Author(s) Examples
Graphic functions to illustrate response curves and parameter estimation.
1 2 3 4 5 6 7 |
theta |
numeric; vector of person proficiency (θ) levels scaled on a normal |
S |
numeric: positive vector of personal fluctuation parameters (σ). |
C |
numeric: positive vector of personal pseudo-guessing parameters (χ, a probability between 0 and 1). |
D |
numeric: positive vector of personal inattention parameters (δ, a probability between 0 and 1). |
s |
numeric: vector of item fluctuation parameter or the inverse of item discrimination (s= 1/a). |
b |
numeric: vector of item discrimination parameter. |
c |
numeric: vector of item pseudo-guessing parameter. |
d |
numeric: vector of item inattention parameter. |
ID |
character: curves identification information displayed ("ID", "ALL", "THETA2 or NULL) |
groups |
logical: default to |
main |
character: first line of main title. |
xlab |
character: label of x axis. |
ylab |
character: label of y axis. |
type |
character: type of |
PCC
returns a list:
graphic |
trellis object: figures for each subject (group or shingle representation). |
probability |
data.frame: item snd person parameters, like th eprobability of a correct response. |
Gilles Raiche, Universite du Quebec a Montreal (UQAM),
Departement d'education et pedagogie
Raiche.Gilles@uqam.ca, http://www.er.uqam.ca/nobel/r17165/
1 2 3 4 5 6 7 8 9 10 11 12 | ## PCC curves grouped on a single figure
res1 <- PCC(theta=c(-2,-2,-2),S=0, C=c(0.0, 0.1, 0.6), D=0.2,
b=seq(-5,5,length=3000), ID=NULL, groups=TRUE,
type=c("g","a"))
res1
## PCC curves shingled on a single figure for each subject
res2 <- PCC(theta=c(-2,-1,0),S=c(4.0,0.0, 1.0), C=c(0.0, 0.1, 0.6), D=0.2,
b=seq(-5,5,length=3000), ID=NULL, groups=FALSE,
type=c("g","a"))
res2
|
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