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Forked from anonymous/survival_demo.ipynb
Created December 26, 2012 22:44
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{
"metadata": {
"name": "survival_demo"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Survival Analysis in iPython via R\n",
"\n",
"The R code is cribbed from the [UCLA course](http://www.ats.ucla.edu/stat/r/examples/asa/default.htm), based on Hosmer & Lemeshow.\n",
"\n",
"First, which version of iPython are you using?"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import IPython\n",
"print 'ipython version is %s'% IPython.release.version\n",
"print 'rmagic is >= 0.13, I believe'"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"ipython version is 0.14.dev\n",
"rmagic is >= 0.13, I believe\n"
]
}
],
"prompt_number": 1
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"now load the R module:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%load_ext rmagic"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%R\n",
"# you are now dropped down in R;\n",
"# which version of R am I using, BTW?\n",
"print(R.version)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"text": [
" _ \n",
"platform x86_64-pc-linux-gnu \n",
"arch x86_64 \n",
"os linux-gnu \n",
"system x86_64, linux-gnu \n",
"status \n",
"major 2 \n",
"minor 15.2 \n",
"year 2012 \n",
"month 10 \n",
"day 26 \n",
"svn rev 61015 \n",
"language R \n",
"version.string R version 2.15.2 (2012-10-26)\n",
"nickname Trick or Treat \n"
]
}
],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%R\n",
"# my notebook is wider than the default 80 chars, so set it here:\n",
"options(width=300)\n",
"# get the survival package if you do not have it:\n",
"if (! length(which(.packages(all.available=TRUE) %in% \"survival\"))) {\n",
" install.packages(\"survival\",repos=\"http://cran.cnr.berkeley.edu/\")\n",
"}\n",
"library(survival)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"text": [
"Loading required package: splines\n"
]
}
],
"prompt_number": 4
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Start using R as you would normally, although echoing has to be performed explicitly."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%R\n",
"hmohiv<-read.table(\"http://www.ats.ucla.edu/stat/r/examples/asa/hmohiv.csv\", sep=\",\", header = TRUE)\n",
"attach(hmohiv)\n",
"print(head(hmohiv))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"text": [
" ID time age drug censor entdate enddate\n",
"1 1 5 46 0 1 5/15/1990 10/14/1990 \n",
"2 2 6 35 1 0 9/19/1989 3/20/1990 \n",
"3 3 8 30 1 1 4/21/1991 12/20/1991 \n",
"4 4 3 30 1 1 1/3/1991 4/4/1991 \n",
"5 5 22 36 0 1 9/18/1989 7/19/1991 \n",
"6 6 1 32 1 0 3/18/1991 4/17/1991 \n"
]
}
],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%R -w 800 -h 600\n",
"# figures work fine, but you may want to set the height and width with the -w and -h flags as above\n",
"psymbol<-censor+1\n",
"table(psymbol)\n",
"plot(age, time, pch=(psymbol))\n",
"legend(40, 60, c(\"Censor=1\", \"Censor=0\"), pch=(psymbol))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
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JUpKaK4YtjXOj3b4V08Jvj7LO8VaF4rr1oWW3rxDzsmxsM5IrB4rXLggtyukq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\nWwAAAABJRU5ErkJggg==\n"
}
],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%R\n",
"# this is all still cribbed from the UCLA page\n",
"test <- survreg( Surv(time, censor) ~ age, dist=\"exponential\")\n",
"# note again, you have to explicitly echo\n",
"print(summary(test))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"text": [
"\n",
"Call:\n",
"survreg(formula = Surv(time, censor) ~ age, dist = \"exponential\")\n",
" Value Std. Error z p\n",
"(Intercept) 5.8590 0.5853 10.01 1.37e-23\n",
"age -0.0939 0.0158 -5.96 2.59e-09\n",
"\n",
"Scale fixed at 1 \n",
"\n",
"Exponential distribution\n",
"Loglik(model)= -275 Loglik(intercept only)= -292.3\n",
"\tChisq= 34.5 on 1 degrees of freedom, p= 4.3e-09 \n",
"Number of Newton-Raphson Iterations: 4 \n",
"n= 100 \n",
"\n"
]
}
],
"prompt_number": 7
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can pass data back and forth, but I am not an expert on this aspect; Access the ipython help for ```Rpush``` and ```Rpull``` for more details."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%Rpull hmohiv"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 8
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# for a raw pull, the column information is lost?\n",
"hmohiv"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 9,
"text": [
"array([[ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,\n",
" 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26,\n",
" 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39,\n",
" 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52,\n",
" 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65,\n",
" 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,\n",
" 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91,\n",
" 92, 93, 94, 95, 96, 97, 98, 99, 100],\n",
" [ 5, 6, 8, 3, 22, 1, 7, 9, 3, 12, 2, 12, 1,\n",
" 15, 34, 1, 4, 19, 3, 2, 2, 6, 60, 11, 2, 5,\n",
" 4, 1, 13, 3, 2, 1, 30, 7, 4, 8, 5, 10, 2,\n",
" 9, 36, 3, 9, 3, 35, 8, 11, 56, 2, 3, 15, 1,\n",
" 10, 1, 7, 3, 3, 2, 32, 3, 10, 11, 3, 7, 5,\n",
" 31, 5, 58, 1, 3, 43, 1, 6, 53, 14, 4, 54, 1,\n",
" 1, 8, 5, 1, 1, 2, 7, 1, 10, 24, 7, 12, 4,\n",
" 57, 1, 12, 7, 1, 5, 60, 2, 1],\n",
" [ 46, 35, 30, 30, 36, 32, 36, 31, 48, 47, 28, 34, 44,\n",
" 32, 36, 36, 54, 35, 44, 38, 40, 34, 25, 32, 42, 47,\n",
" 30, 47, 41, 40, 43, 41, 30, 37, 42, 31, 39, 32, 51,\n",
" 36, 43, 39, 33, 45, 33, 28, 31, 20, 44, 39, 33, 31,\n",
" 33, 50, 36, 30, 42, 32, 34, 38, 33, 39, 39, 33, 34,\n",
" 34, 46, 22, 44, 37, 25, 38, 32, 34, 29, 36, 21, 26,\n",
" 32, 42, 40, 37, 47, 32, 41, 46, 26, 30, 32, 31, 35,\n",
" 36, 41, 36, 35, 34, 28, 29, 35, 34],\n",
" [ 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1,\n",
" 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0,\n",
" 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0,\n",
" 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0,\n",
" 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1,\n",
" 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1,\n",
" 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 0,\n",
" 0, 1, 1, 1, 1, 0, 0, 1, 1],\n",
" [ 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1,\n",
" 1, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1,\n",
" 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
" 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1,\n",
" 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1,\n",
" 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1,\n",
" 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1,\n",
" 1, 1, 0, 1, 1, 1, 0, 0, 1],\n",
" [ 57, 94, 45, 27, 93, 34, 6, 10, 29, 78, 43, 53, 12,\n",
" 31, 51, 41, 85, 66, 68, 28, 83, 63, 8, 65, 88, 19,\n",
" 64, 54, 38, 73, 92, 70, 48, 58, 33, 32, 86, 77, 20,\n",
" 47, 23, 49, 76, 22, 18, 71, 43, 61, 7, 13, 6, 3,\n",
" 36, 75, 72, 5, 40, 37, 89, 90, 50, 44, 26, 91, 25,\n",
" 39, 44, 69, 3, 30, 56, 87, 17, 81, 14, 82, 59, 35,\n",
" 4, 60, 67, 84, 21, 95, 9, 74, 2, 1, 24, 96, 42,\n",
" 15, 16, 11, 80, 79, 62, 46, 55, 52],\n",
" [ 3, 46, 28, 57, 78, 53, 72, 85, 63, 83, 71, 60, 38,\n",
" 64, 42, 59, 29, 35, 88, 48, 8, 15, 12, 59, 21, 66,\n",
" 91, 67, 56, 4, 13, 79, 7, 27, 75, 5, 34, 71, 40,\n",
" 32, 31, 80, 58, 49, 14, 39, 44, 23, 10, 55, 36, 9,\n",
" 20, 86, 37, 43, 77, 62, 61, 26, 41, 46, 65, 51, 69,\n",
" 2, 90, 52, 9, 68, 24, 93, 73, 25, 45, 30, 11, 54,\n",
" 19, 22, 21, 92, 33, 16, 74, 84, 82, 1, 81, 93, 87,\n",
" 94, 18, 17, 47, 89, 6, 50, 76, 70]], dtype=int32)"
]
}
],
"prompt_number": 9
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%Rpull -d hmohiv"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 10
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# now it is pulled as something else, but what I am not sure\n",
"hmohiv"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 11,
"text": [
"array([(1, 5, 46, 0, 1, 57, 3), (2, 6, 35, 1, 0, 94, 46),\n",
" (3, 8, 30, 1, 1, 45, 28), (4, 3, 30, 1, 1, 27, 57),\n",
" (5, 22, 36, 0, 1, 93, 78), (6, 1, 32, 1, 0, 34, 53),\n",
" (7, 7, 36, 1, 1, 6, 72), (8, 9, 31, 1, 1, 10, 85),\n",
" (9, 3, 48, 0, 1, 29, 63), (10, 12, 47, 0, 1, 78, 83),\n",
" (11, 2, 28, 1, 0, 43, 71), (12, 12, 34, 0, 1, 53, 60),\n",
" (13, 1, 44, 1, 1, 12, 38), (14, 15, 32, 1, 1, 31, 64),\n",
" (15, 34, 36, 0, 1, 51, 42), (16, 1, 36, 0, 1, 41, 59),\n",
" (17, 4, 54, 0, 1, 85, 29), (18, 19, 35, 0, 0, 66, 35),\n",
" (19, 3, 44, 1, 0, 68, 88), (20, 2, 38, 0, 1, 28, 48),\n",
" (21, 2, 40, 0, 0, 83, 8), (22, 6, 34, 1, 1, 63, 15),\n",
" (23, 60, 25, 0, 0, 8, 12), (24, 11, 32, 0, 1, 65, 59),\n",
" (25, 2, 42, 1, 0, 88, 21), (26, 5, 47, 0, 1, 19, 66),\n",
" (27, 4, 30, 0, 0, 64, 91), (28, 1, 47, 1, 1, 54, 67),\n",
" (29, 13, 41, 0, 1, 38, 56), (30, 3, 40, 1, 1, 73, 4),\n",
" (31, 2, 43, 0, 1, 92, 13), (32, 1, 41, 0, 1, 70, 79),\n",
" (33, 30, 30, 0, 1, 48, 7), (34, 7, 37, 0, 1, 58, 27),\n",
" (35, 4, 42, 1, 1, 33, 75), (36, 8, 31, 1, 1, 32, 5),\n",
" (37, 5, 39, 1, 1, 86, 34), (38, 10, 32, 0, 1, 77, 71),\n",
" (39, 2, 51, 0, 1, 20, 40), (40, 9, 36, 0, 1, 47, 32),\n",
" (41, 36, 43, 0, 1, 23, 31), (42, 3, 39, 0, 1, 49, 80),\n",
" (43, 9, 33, 0, 1, 76, 58), (44, 3, 45, 1, 1, 22, 49),\n",
" (45, 35, 33, 0, 1, 18, 14), (46, 8, 28, 0, 1, 71, 39),\n",
" (47, 11, 31, 0, 1, 43, 44), (48, 56, 20, 1, 0, 61, 23),\n",
" (49, 2, 44, 0, 0, 7, 10), (50, 3, 39, 1, 1, 13, 55),\n",
" (51, 15, 33, 0, 1, 6, 36), (52, 1, 31, 0, 1, 3, 9),\n",
" (53, 10, 33, 0, 1, 36, 20), (54, 1, 50, 1, 1, 75, 86),\n",
" (55, 7, 36, 1, 1, 72, 37), (56, 3, 30, 1, 1, 5, 43),\n",
" (57, 3, 42, 1, 1, 40, 77), (58, 2, 32, 1, 1, 37, 62),\n",
" (59, 32, 34, 0, 1, 89, 61), (60, 3, 38, 1, 1, 90, 26),\n",
" (61, 10, 33, 0, 0, 50, 41), (62, 11, 39, 1, 1, 44, 46),\n",
" (63, 3, 39, 1, 1, 26, 65), (64, 7, 33, 1, 1, 91, 51),\n",
" (65, 5, 34, 1, 1, 25, 69), (66, 31, 34, 0, 1, 39, 2),\n",
" (67, 5, 46, 1, 1, 44, 90), (68, 58, 22, 0, 1, 69, 52),\n",
" (69, 1, 44, 1, 1, 3, 9), (70, 3, 37, 0, 0, 30, 68),\n",
" (71, 43, 25, 0, 1, 56, 24), (72, 1, 38, 0, 1, 87, 93),\n",
" (73, 6, 32, 0, 1, 17, 73), (74, 53, 34, 0, 1, 81, 25),\n",
" (75, 14, 29, 0, 1, 14, 45), (76, 4, 36, 1, 1, 82, 30),\n",
" (77, 54, 21, 0, 1, 59, 11), (78, 1, 26, 1, 1, 35, 54),\n",
" (79, 1, 32, 1, 1, 4, 19), (80, 8, 42, 0, 1, 60, 22),\n",
" (81, 5, 40, 1, 1, 67, 21), (82, 1, 37, 1, 1, 84, 92),\n",
" (83, 1, 47, 0, 1, 21, 33), (84, 2, 32, 1, 1, 95, 16),\n",
" (85, 7, 41, 1, 0, 9, 74), (86, 1, 46, 1, 0, 74, 84),\n",
" (87, 10, 26, 1, 1, 2, 82), (88, 24, 30, 0, 0, 1, 1),\n",
" (89, 7, 32, 1, 1, 24, 81), (90, 12, 31, 1, 0, 96, 93),\n",
" (91, 4, 35, 0, 1, 42, 87), (92, 57, 36, 0, 1, 15, 94),\n",
" (93, 1, 41, 1, 1, 16, 18), (94, 12, 36, 1, 0, 11, 17),\n",
" (95, 7, 35, 1, 1, 80, 47), (96, 1, 34, 1, 1, 79, 89),\n",
" (97, 5, 28, 0, 1, 62, 6), (98, 60, 29, 0, 0, 46, 50),\n",
" (99, 2, 35, 1, 0, 55, 76), (100, 1, 34, 1, 1, 52, 70)], \n",
" dtype=[('ID', '<i4'), ('time', '<i4'), ('age', '<i4'), ('drug', '<i4'), ('censor', '<i4'), ('entdate', '<i4'), ('enddate', '<i4')])"
]
}
],
"prompt_number": 11
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"?Rpull"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 12
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 12
}
],
"metadata": {}
}
]
}
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