| erf | R Documentation | 
Utility function to compute empirical response functions.
erf(theta, data, whichItem, min = -3, max = 3, Ncuts = 12)
theta | 
 Vector of estimated latent trait scores.  | 
data | 
 A matrix of binary item responses.  | 
whichItem | 
 Data for an erf will be generated for whichItem.  | 
min | 
 Default = -3. Minimum value of theta.  | 
max | 
 Default = 3. Maximum value of theta.  | 
Ncuts | 
 Number of score groups for erf.  | 
probs | 
 A vector (of length Ncuts) of bin response probabilities for the empirical response function.  | 
centers | 
 A vector of bin centers.  | 
Ni | 
 Bin sample sizes.  | 
se.p | 
 Standard errors of the estimated bin response probabilities.  | 
Niels Waller
NSubj <- 2000
#generate sample k=1 FMP  data
b <- matrix(c(
    #b0    b1     b2    b3      b4   b5 b6 b7  k
  1.675, 1.974, -0.068, 0.053,  0,  0,  0,  0, 1,
  1.550, 1.805, -0.230, 0.032,  0,  0,  0,  0, 1,
  1.282, 1.063, -0.103, 0.003,  0,  0,  0,  0, 1,
  0.704, 1.376, -0.107, 0.040,  0,  0,  0,  0, 1,
  1.417, 1.413,  0.021, 0.000,  0,  0,  0,  0, 1,
 -0.008, 1.349, -0.195, 0.144,  0,  0,  0,  0, 1,
  0.512, 1.538, -0.089, 0.082,  0,  0,  0,  0, 1,
  0.122, 0.601, -0.082, 0.119,  0,  0,  0,  0, 1,
  1.801, 1.211,  0.015, 0.000,  0,  0,  0,  0, 1,
 -0.207, 1.191,  0.066, 0.033,  0,  0,  0,  0, 1,
 -0.215, 1.291, -0.087, 0.029,  0,  0,  0,  0, 1,
  0.259, 0.875,  0.177, 0.072,  0,  0,  0,  0, 1,
 -0.423, 0.942,  0.064, 0.094,  0,  0,  0,  0, 1,
  0.113, 0.795,  0.124, 0.110,  0,  0,  0,  0, 1,
  1.030, 1.525,  0.200, 0.076,  0,  0,  0,  0, 1,
  0.140, 1.209,  0.082, 0.148,  0,  0,  0,  0, 1,
  0.429, 1.480, -0.008, 0.061,  0,  0,  0,  0, 1,
  0.089, 0.785, -0.065, 0.018,  0,  0,  0,  0, 1,
 -0.516, 1.013,  0.016, 0.023,  0,  0,  0,  0, 1,
  0.143, 1.315, -0.011, 0.136,  0,  0,  0,  0, 1,
  0.347, 0.733, -0.121, 0.041,  0,  0,  0,  0, 1,
 -0.074, 0.869,  0.013, 0.026,  0,  0,  0,  0, 1,
  0.630, 1.484, -0.001, 0.000,  0,  0,  0,  0, 1), 
  nrow=23, ncol=9, byrow=TRUE)  
 
theta <- rnorm(NSubj)  
data<-genFMPData(NSubj = NSubj, bParam = b, theta = theta, seed = 345)$data
erfItem1 <- erf(theta, data, whichItem = 1, min = -3, max = 3, Ncuts = 12)
plot( erfItem1$centers, erfItem1$probs, type="b", 
      main="Empirical Response Function",
      xlab = expression(theta),
      ylab="Probability",
      cex.lab=1.5)
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