Fits psychometric functions
Description
quickpsy_
is the standard evaluation SE function associated
to the nonstandard evaluation NSE function quickpsy
.
SE functions can be more easily called from other functions.
In SE functions, you need to quote the names of the variables.
Usage
1 2 3 4 
Arguments
d 
Data frame with the results of a YesNo experiment to fit. It should have a tidy form in which each column corresponds to a variable and each row is an observation. 
x 
Name of the explanatory variable. 
k 
Name of the response variable. The response variable could be the number of trials in which a yestype response was given or a vector of 0s (or 1s; notype response) and 1s (yestype response) indicating the response on each trial. 
n 
Only necessary if 
grouping 
Name of the grouping variables. It should be specified as

random 
Name of the random variable. It should be specified as

within 
Name of the within variable. It should be specified as

between 
Name of the between variable. It should be specified as

xmin 
Minimum value of the explanatory variable for which the curves should be calculated (the default is the minimum value of the explanatory variable). 
xmax 
Maximum value of the explanatory variable for which the curves should be calculated (the default is the maximum value of the explanatory variable). 
log 
If 
fun 
Name of the shape of the curve to fit. It could be a predefined
shape ( 
parini 
Initial parameters. quickpsy calculates default
initial parameters using probit analysis, but it is also possible to
specify a vector of initial parameters or a list of the form

guess 
Value indicating the guess rate γ (default is 0). If

lapses 
Value indicating the lapse rate λ (default is 0).
If 
prob 
Probability to calculate the threshold (default is

thresholds 
If 
bootstrap 

B 
number of bootstrap samples (default is 100 ONLY). 
ci 
Confidence intervals level based on percentiles (default is .95). 
optimization 
Method used for optimizization. The default is 'optim' which uses
the 
See Also
quickpsy
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