Created
December 12, 2012 21:22
-
-
Save shabbychef/4271760 to your computer and use it in GitHub Desktop.
testing ipython notebook and magic.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
{ | |
"metadata": { | |
"name": "footest" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# to get the R<->python magic" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 1 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"%load_ext rmagic" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 1 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# now you can code in R:" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 2 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"%%R\n", | |
"library(survival)\n", | |
"amod <- coxph(Surv(lung$time,lung$status) ~ lung$sex + lung$ph.karno)\n", | |
"print(summary(amod))" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "display_data", | |
"text": [ | |
"Loading required package: splines\n", | |
"Call:\n", | |
"coxph(formula = Surv(lung$time, lung$status) ~ lung$sex + lung$ph.karno)\n", | |
"\n", | |
" n= 227, number of events= 164 \n", | |
" (1 observation deleted due to missingness)\n", | |
"\n", | |
" coef exp(coef) se(coef) z Pr(>|z|) \n", | |
"lung$sex -0.504210 0.603982 0.167723 -3.006 0.00265 **\n", | |
"lung$ph.karno -0.015155 0.984959 0.005727 -2.646 0.00814 **\n", | |
"---\n", | |
"Signif. codes: 0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1 \n", | |
"\n", | |
" exp(coef) exp(-coef) lower .95 upper .95\n", | |
"lung$sex 0.604 1.656 0.4348 0.8391\n", | |
"lung$ph.karno 0.985 1.015 0.9740 0.9961\n", | |
"\n", | |
"Concordance= 0.638 (se = 0.026 )\n", | |
"Rsquare= 0.072 (max possible= 0.999 )\n", | |
"Likelihood ratio test= 17.05 on 2 df, p=0.0001981\n", | |
"Wald test = 17.18 on 2 df, p=0.000186\n", | |
"Score (logrank) test = 17.5 on 2 df, p=0.0001583\n", | |
"\n" | |
] | |
} | |
], | |
"prompt_number": 3 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# to get the octave<->python magic" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 4 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"%load_ext octavemagic" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 5 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"%%octave -o y\n", | |
"x = randn(100,20);\n", | |
"y = sum(x,1);" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "display_data", | |
"text": [ | |
"warning: mark_as_command is obsolete and will be removed from a future version of Octave\n", | |
"********************************\n", | |
"adding ~/lang/octave/m// to path\n", | |
"********************************" | |
] | |
} | |
], | |
"prompt_number": 6 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"y" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "pyout", | |
"prompt_number": 7, | |
"text": [ | |
"array([[ -8.83067733, -3.13032074, -2.91806939, 1.14890723,\n", | |
" 5.44526298, 10.23667501, 13.29263306, -4.92289999,\n", | |
" 2.36629103, 5.51218616, 17.05002896, 3.99914408,\n", | |
" -11.06913111, -5.63449047, -4.2435471 , -5.57522994,\n", | |
" -4.37502494, -10.54391426, 10.11748001, -0.2811483 ]])" | |
] | |
} | |
], | |
"prompt_number": 7 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"%%octave -i y -o z\n", | |
"z = sum(y);" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 8 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"z" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "pyout", | |
"prompt_number": 9, | |
"text": [ | |
"7.6441549485344096" | |
] | |
} | |
], | |
"prompt_number": 9 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [] | |
} | |
], | |
"metadata": {} | |
} | |
] | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment