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:
| # 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", ...){ |
| check_item <- function(...) { | |
| if (!("exams" %in% installed.packages()[ , "Package"])){ | |
| install.packages("exams") | |
| } | |
| file = rstudioapi::getSourceEditorContext()$path | |
| exams::exams2html(file) | |
| } |
| __author__ = "Oliver Lindemann <[email protected]>" | |
| """ | |
| 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() |
I hereby claim:
To claim this, I am signing this object:
| { | |
| "@type": "dataset", | |
| "@context": "https://schema.org/", | |
| "schemaVersion": "Psych-DS 0.1.0", | |
| "name": "Dataset Demo", | |
| "description": "", | |
| "keywords": [], | |
| "license": "", | |
| "temporalCoverage": "", | |
| "spatialCoverage": "", |
| import expyriment as xpy | |
| def shape_test_case(size, line_width): | |
| """Compare manual rectangle with result from Shape class.""" | |
| from expyriment import stimuli | |
| 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 |
| from __future__ import absolute_import, print_function, division | |
| from builtins import * | |
| __author__ = 'Oliver Lindemann <[email protected]>' | |
| import pygame | |
| from PIL.Image import isImageType | |
| from expyriment.stimuli import Canvas | |
| class ExprimentPILImage(Canvas): |
| 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 |
| 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 |