lindemann09

# Example how to export r/exams questions to ANS
#
# The resulting zip file 'qti4ans.zip' can be imported to ANS via the web interface
#

library(exams)

#' Exporting exams to QTI (QTI 2.1) compatible with ANS
#'
exams2qti4ans <-function(file, name="qti4ans.zip", ...){

lindemann09

check_item <- function(...) {
  if (!("exams" %in% installed.packages()[ , "Package"])){
    install.packages("exams")
  }
  file = rstudioapi::getSourceEditorContext()$path
  exams::exams2html(file)
}

lindemann09

__author__ = "Oliver Lindemann <lindemann@essb.eur.nl>"

"""
Parser for Remindo JSON result files

Example: Convert to csv
    ```
    from remindo_results import RemindoResults
    rr = RemindoResults("remindo_result_exam_A.json", 41, ignored_questions=[0])
    rr.save_csv_files()

lindemann09

Keybase proof

I hereby claim:

• I am lindemann09 on github.
• I am olindemann (https://keybase.io/olindemann) on keybase.
• I have a public key ASBmpekJTodOaBWMoNk2h07wuXb1z0Orpy5b7pACWmRhPAo

To claim this, I am signing this object:

lindemann09

{
  "@type": "dataset",
  "@context": "https://schema.org/",
  "schemaVersion": "Psych-DS 0.1.0",
  "name": "Dataset Demo",
  "description": "",
  "keywords": [],
  "license": "",
  "temporalCoverage": "",
  "spatialCoverage": "",

lindemann09

import expyriment as xpy


def shape_test_case(size, line_width):
    """Compare manual rectangle with result from Shape class."""


    from expyriment import stimuli

lindemann09

library("dplyr")
library(matrixStats)
source("two_force_sensor_functions.R")

pre_process_xpd = function(xpd) {
    # preprocessing xpd-files:
    #
    # adding variable
    #     small
    #     switch:  mini-block switch 

lindemann09

from __future__ import absolute_import, print_function, division
from builtins import *

__author__ = 'Oliver Lindemann <oliver.lindemann@cognitive-psychology.eu>'

import pygame
from PIL.Image import isImageType
from expyriment.stimuli import Canvas

class ExprimentPILImage(Canvas):

lindemann09

import expyriment
from expyriment.misc import geometry
import math as _math

def _contour_of_edge(node_A, node_B, node_C, line_width):
    # using nodes in cartesian coordinates
    BA = (node_B[0] - node_A[0], node_B[1] - node_A[1])  # vector B-A
    BC = (node_B[0] - node_C[0], node_B[1] - node_C[1])

    phi_BC = _math.atan2(BC[1], BC[0]) # polar coordinate phi (angle) from cartesian

lindemann09

import expyriment
import numpy as np
expyriment.control.set_develop_mode()

exp = expyriment.control.initialize()
expyriment.control.start(skip_ready_screen=True)


def canvas_with_gabor_patch(sigma,theta,Lambda,psi,gamma):
    sigma_x = sigma