{ "cells": [ { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "\n", "\tFriedman rank sum test\n", "\n", "data: Score and Task and ID\n", "Friedman chi-squared = 12, df = 1, p-value = 0.000532\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df = read.csv(\"./DataStudyEvaluation/R_TLX.csv\")\n", "df$ID <- factor(df$ID)\n", "df$Task <- factor(df$Task)\n", "friedman.test(Score ~ Task | ID, data = df)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "\n", "\tFriedman rank sum test\n", "\n", "data: Score and Task and ID\n", "Friedman chi-squared = 8.3333, df = 1, p-value = 0.003892\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df = read.csv(\"./DataStudyEvaluation/R_SUS.csv\")\n", "df$ID <- factor(df$ID)\n", "df$Task <- factor(df$Task)\n", "friedman.test(Score ~ Task | ID, data = df)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "\n", "\tFriedman rank sum test\n", "\n", "data: Easiness and Task and ID\n", "Friedman chi-squared = 8.3333, df = 1, p-value = 0.003892\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "\n", "\tFriedman rank sum test\n", "\n", "data: Speed and Task and ID\n", "Friedman chi-squared = 12, df = 1, p-value = 0.000532\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "\n", "\tFriedman rank sum test\n", "\n", "data: Success and Task and ID\n", "Friedman chi-squared = 6.4, df = 1, p-value = 0.01141\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "\n", "\tFriedman rank sum test\n", "\n", "data: Accuracy and Task and ID\n", "Friedman chi-squared = 11, df = 1, p-value = 0.0009111\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "\n", "\tFriedman rank sum test\n", "\n", "data: Comfort and Task and ID\n", "Friedman chi-squared = 12, df = 1, p-value = 0.000532\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df = read.csv(\"./DataStudyEvaluation/R_Quest.csv\")\n", "df$ID <- factor(df$ID)\n", "df$Task <- factor(df$Task)\n", "friedman.test(Easiness ~ Task | ID, data = df)\n", "friedman.test(Speed ~ Task | ID, data = df)\n", "friedman.test(Success ~ Task | ID, data = df)\n", "friedman.test(Accuracy ~ Task | ID, data = df)\n", "friedman.test(Comfort ~ Task | ID, data = df)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "R", "language": "R", "name": "ir" }, "language_info": { "codemirror_mode": "r", "file_extension": ".r", "mimetype": "text/x-r-source", "name": "R", "pygments_lexer": "r", "version": "3.5.3" } }, "nbformat": 4, "nbformat_minor": 2 }