lindemann09

import pygame
import pygame.surfarray as surfarray
import numpy
from expyriment import control
from expyriment.stimuli import Canvas

class PGSurface(Canvas):
    """PyGame Surface: Expyriment Stimulus for direct Pygame operations and
    PixelArrays

lindemann09

 #!/usr/bin/env python
# coding: utf8

import csv
import datetime

from orderedset import OrderedSet
from docx import Document

lindemann09

#!/usr/bin/env python
# -*- coding: iso-8859-1 -*-

"""
Generate tex files with subject hour vouchers and a code list
and run pdflatex.

Version 0.5

(c) 2012-2015, Oliver Lindemann

lindemann09

# quit program by pressing <ESC>
from expyriment import io, control

control.set_develop_mode(True)

control.initialize()
mouse = io.Mouse()

control.start(skip_ready_screen=True)

lindemann09

#!/usr/bin/Rscript
#
# Converts spss file to csv-file ("output.csv")
#
# usage: 
#   	Rscript spss2csv.R <FILENAME>

library(foreign)
args <- commandArgs(trailingOnly = TRUE)
data = read.spss(args[1], to.data.frame=TRUE)

lindemann09

"""
Formal design of the experiment "sub-symbolic-place-value"
"""

def dec2base_x(n, base):
    """base x array (numpy array) of the decimal n"""
    rtn = []
    while(n>0):
        rtn.append(n%base)
        n = n/base

lindemann09

#!/usr/bin/env python
# -*- coding: utf-8 -*-

from math import sqrt
import gc
import pylink
from pylink import getEYELINK
from expyriment.stimuli import Circle
from expyriment.misc import constants
from expyriment.misc.geometry import coordinates2position

lindemann09

#!/bin/bash
#
# Linux installation script for CmdStan (http://mc-stan.org/)
# Downloads and installs CmdStan on DEBIAN/UBUNTU LINUX
# The following shell commands will be created (/usr/bin/...): 
#            stanc
#            stan_make
#            stan_print
#
# Please adapt VERSION number!

lindemann09

#This shows how to get the random slopes and CI's for each level in a hierarchical model

#dataset used
head(iris)

#what we want to investigate
#Is there a general relationship? and how it differs by species
plot(iris$Sepal.Width ~ iris$Petal.Width, col = iris$Species, las =1)

#Our model with random slope and intercept

lindemann09

echo "This script is deprecated!"
echo "Please visit http://lindemann09.github.io/jasp-linux-install/"