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authorThordur Bjornsson <thorduri@secnorth.net>2012-11-04 17:16:14 +0100
committerThordur Bjornsson <thorduri@secnorth.net>2012-11-04 17:16:14 +0100
commit65780fdfff8cb81e99b7b5ba8d69391d81c97aba (patch)
treee0c5c97743638136ff344b08136fd0156c154221
downloadministat-65780fdfff8cb81e99b7b5ba8d69391d81c97aba.tar.gz
ministat-65780fdfff8cb81e99b7b5ba8d69391d81c97aba.tar.xz
ministat-65780fdfff8cb81e99b7b5ba8d69391d81c97aba.zip
initial import
-rw-r--r--.gitignore2
-rw-r--r--Makefile41
-rw-r--r--README.md57
-rw-r--r--ministat.c629
4 files changed, 729 insertions, 0 deletions
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..c968b3a
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,2 @@
+obj
+*.core
diff --git a/Makefile b/Makefile
new file mode 100644
index 0000000..25d8394
--- /dev/null
+++ b/Makefile
@@ -0,0 +1,41 @@
+CC ?= clang 
+INSTALLPATH ?= /usr/bin
+
+CFLAGS += -Wall -Werror
+LDFLAGS += -lm
+
+BIN = ministat 
+SRC = $(BIN).c
+
+# No user serviceable parts below this line.
+OBJS = $(addprefix $(OBJ), $(SRC:.c=.o))
+DEPS = $(addsuffix .depend, $(OBJS))
+OBJ  = obj
+
+all: obj $(OBJ)/$(BIN)
+
+obj:
+	-mkdir obj
+
+$(OBJ)$/(BIN): $(OBJS)
+	$(CC) -o $@ $^ ${LDFLAGS}
+
+
+$(OBJ)/%.o: %.c
+	@echo "Generating $@.depend"
+	@$(CC) $(CFLAGS) -MM $< | \
+	sed 's,$*\.o[ :]*,$@ $@.depend : ,g' >> $@.depend
+	$(CC) $(CFLAGS) -o $@ -c $<
+
+depend:
+	@echo "Dependencies are automatically generated."
+
+install:
+	install -m 0755 $(OBJ)/$(BIN) $(INSTALLPATH)
+
+clean:
+	-rm -rf $(BIN) obj *.core
+
+.PHONY: all depend install clean
+
+-include $(DEPS)
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..28a9325
--- /dev/null
+++ b/README.md
@@ -0,0 +1,57 @@
+# ministat
+A small tool to do the statistics legwork on benchmarks etc.
+
+Written by Poul-Henning Kamp, lured into a dark Linux alley and clubbed over the head and hauled away to Github by yours truly.
+
+## Build & Install
+
+There should be no dependencies besides the standard libraries and a functional tool-chain.
+
+	$ cd ministat/
+	$ make
+	# INSTALLPATH=/usr/bin make install
+
+## Usage
+The FreeBSD man page is very relevant, pursue it [here](http://www.freebsd.org/cgi/man.cgi?ministat).
+
+	Usage: ministat [-C column] [-c confidence] [-d delimiter(s)] [-ns] [-w width] [file [file ...]]
+		confidence = {80%, 90%, 95%, 98%, 99%, 99.5%}
+		-C : column number to extract (starts and defaults to 1)
+		-d : delimiter(s) string, default to " \t"
+		-n : print summary statistics only, no graph/test
+		-s : print avg/median/stddev bars on separate lines
+		-w : width of graph/test output (default 74 or terminal width)
+
+## Example
+From the FreeBSD [man page](http://www.freebsd.org/cgi/man.cgi?ministat)
+
+	$ cat << EOF > iguana
+	50
+	200
+	150
+	400
+	750
+	400
+	150
+	EOF
+
+	$ cat << EOF > chameleon
+	150
+	400
+	720	
+	500
+	930
+	EOF
+
+	$ ministat -s -w 60 iguana chameleon
+	x iguana
+	+ chameleon
+	+------------------------------------------------------------+
+	|x      *  x	     *	       +	   + x	            +|
+	| |________M______A_______________|			     |
+	| 	      |________________M__A___________________|      |
+	+------------------------------------------------------------+
+	    N	  Min	     Max     Median	   Avg	     Stddev
+	x   7	   50	     750	200	   300	  238.04761
+	+   5	  150	     930	500	   540	  299.08193
+	No difference proven at 95.0% confidence
diff --git a/ministat.c b/ministat.c
new file mode 100644
index 0000000..487c45b
--- /dev/null
+++ b/ministat.c
@@ -0,0 +1,629 @@
+/*
+ * ----------------------------------------------------------------------------
+ * "THE BEER-WARE LICENSE" (Revision 42):
+ * <phk@FreeBSD.ORG> wrote this file.  As long as you retain this notice you
+ * can do whatever you want with this stuff. If we meet some day, and you think
+ * this stuff is worth it, you can buy me a beer in return.   Poul-Henning Kamp
+ * ----------------------------------------------------------------------------
+ *
+ */
+#include <sys/queue.h>
+
+
+#include <err.h>
+#include <math.h>
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+#include <unistd.h>
+
+#include <asm-generic/ioctls.h>
+#include <asm-generic/termios.h>
+#include <stropts.h>
+
+#define NSTUDENT 100
+#define NCONF 6
+double const studentpct[] = { 80, 90, 95, 98, 99, 99.5 };
+double student [NSTUDENT + 1][NCONF] = {
+/* inf */	{	1.282,	1.645,	1.960,	2.326,	2.576,	3.090  },
+/* 1. */	{	3.078,	6.314,	12.706,	31.821,	63.657,	318.313  },
+/* 2. */	{	1.886,	2.920,	4.303,	6.965,	9.925,	22.327  },
+/* 3. */	{	1.638,	2.353,	3.182,	4.541,	5.841,	10.215  },
+/* 4. */	{	1.533,	2.132,	2.776,	3.747,	4.604,	7.173  },
+/* 5. */	{	1.476,	2.015,	2.571,	3.365,	4.032,	5.893  },
+/* 6. */	{	1.440,	1.943,	2.447,	3.143,	3.707,	5.208  },
+/* 7. */	{	1.415,	1.895,	2.365,	2.998,	3.499,	4.782  },
+/* 8. */	{	1.397,	1.860,	2.306,	2.896,	3.355,	4.499  },
+/* 9. */	{	1.383,	1.833,	2.262,	2.821,	3.250,	4.296  },
+/* 10. */	{	1.372,	1.812,	2.228,	2.764,	3.169,	4.143  },
+/* 11. */	{	1.363,	1.796,	2.201,	2.718,	3.106,	4.024  },
+/* 12. */	{	1.356,	1.782,	2.179,	2.681,	3.055,	3.929  },
+/* 13. */	{	1.350,	1.771,	2.160,	2.650,	3.012,	3.852  },
+/* 14. */	{	1.345,	1.761,	2.145,	2.624,	2.977,	3.787  },
+/* 15. */	{	1.341,	1.753,	2.131,	2.602,	2.947,	3.733  },
+/* 16. */	{	1.337,	1.746,	2.120,	2.583,	2.921,	3.686  },
+/* 17. */	{	1.333,	1.740,	2.110,	2.567,	2.898,	3.646  },
+/* 18. */	{	1.330,	1.734,	2.101,	2.552,	2.878,	3.610  },
+/* 19. */	{	1.328,	1.729,	2.093,	2.539,	2.861,	3.579  },
+/* 20. */	{	1.325,	1.725,	2.086,	2.528,	2.845,	3.552  },
+/* 21. */	{	1.323,	1.721,	2.080,	2.518,	2.831,	3.527  },
+/* 22. */	{	1.321,	1.717,	2.074,	2.508,	2.819,	3.505  },
+/* 23. */	{	1.319,	1.714,	2.069,	2.500,	2.807,	3.485  },
+/* 24. */	{	1.318,	1.711,	2.064,	2.492,	2.797,	3.467  },
+/* 25. */	{	1.316,	1.708,	2.060,	2.485,	2.787,	3.450  },
+/* 26. */	{	1.315,	1.706,	2.056,	2.479,	2.779,	3.435  },
+/* 27. */	{	1.314,	1.703,	2.052,	2.473,	2.771,	3.421  },
+/* 28. */	{	1.313,	1.701,	2.048,	2.467,	2.763,	3.408  },
+/* 29. */	{	1.311,	1.699,	2.045,	2.462,	2.756,	3.396  },
+/* 30. */	{	1.310,	1.697,	2.042,	2.457,	2.750,	3.385  },
+/* 31. */	{	1.309,	1.696,	2.040,	2.453,	2.744,	3.375  },
+/* 32. */	{	1.309,	1.694,	2.037,	2.449,	2.738,	3.365  },
+/* 33. */	{	1.308,	1.692,	2.035,	2.445,	2.733,	3.356  },
+/* 34. */	{	1.307,	1.691,	2.032,	2.441,	2.728,	3.348  },
+/* 35. */	{	1.306,	1.690,	2.030,	2.438,	2.724,	3.340  },
+/* 36. */	{	1.306,	1.688,	2.028,	2.434,	2.719,	3.333  },
+/* 37. */	{	1.305,	1.687,	2.026,	2.431,	2.715,	3.326  },
+/* 38. */	{	1.304,	1.686,	2.024,	2.429,	2.712,	3.319  },
+/* 39. */	{	1.304,	1.685,	2.023,	2.426,	2.708,	3.313  },
+/* 40. */	{	1.303,	1.684,	2.021,	2.423,	2.704,	3.307  },
+/* 41. */	{	1.303,	1.683,	2.020,	2.421,	2.701,	3.301  },
+/* 42. */	{	1.302,	1.682,	2.018,	2.418,	2.698,	3.296  },
+/* 43. */	{	1.302,	1.681,	2.017,	2.416,	2.695,	3.291  },
+/* 44. */	{	1.301,	1.680,	2.015,	2.414,	2.692,	3.286  },
+/* 45. */	{	1.301,	1.679,	2.014,	2.412,	2.690,	3.281  },
+/* 46. */	{	1.300,	1.679,	2.013,	2.410,	2.687,	3.277  },
+/* 47. */	{	1.300,	1.678,	2.012,	2.408,	2.685,	3.273  },
+/* 48. */	{	1.299,	1.677,	2.011,	2.407,	2.682,	3.269  },
+/* 49. */	{	1.299,	1.677,	2.010,	2.405,	2.680,	3.265  },
+/* 50. */	{	1.299,	1.676,	2.009,	2.403,	2.678,	3.261  },
+/* 51. */	{	1.298,	1.675,	2.008,	2.402,	2.676,	3.258  },
+/* 52. */	{	1.298,	1.675,	2.007,	2.400,	2.674,	3.255  },
+/* 53. */	{	1.298,	1.674,	2.006,	2.399,	2.672,	3.251  },
+/* 54. */	{	1.297,	1.674,	2.005,	2.397,	2.670,	3.248  },
+/* 55. */	{	1.297,	1.673,	2.004,	2.396,	2.668,	3.245  },
+/* 56. */	{	1.297,	1.673,	2.003,	2.395,	2.667,	3.242  },
+/* 57. */	{	1.297,	1.672,	2.002,	2.394,	2.665,	3.239  },
+/* 58. */	{	1.296,	1.672,	2.002,	2.392,	2.663,	3.237  },
+/* 59. */	{	1.296,	1.671,	2.001,	2.391,	2.662,	3.234  },
+/* 60. */	{	1.296,	1.671,	2.000,	2.390,	2.660,	3.232  },
+/* 61. */	{	1.296,	1.670,	2.000,	2.389,	2.659,	3.229  },
+/* 62. */	{	1.295,	1.670,	1.999,	2.388,	2.657,	3.227  },
+/* 63. */	{	1.295,	1.669,	1.998,	2.387,	2.656,	3.225  },
+/* 64. */	{	1.295,	1.669,	1.998,	2.386,	2.655,	3.223  },
+/* 65. */	{	1.295,	1.669,	1.997,	2.385,	2.654,	3.220  },
+/* 66. */	{	1.295,	1.668,	1.997,	2.384,	2.652,	3.218  },
+/* 67. */	{	1.294,	1.668,	1.996,	2.383,	2.651,	3.216  },
+/* 68. */	{	1.294,	1.668,	1.995,	2.382,	2.650,	3.214  },
+/* 69. */	{	1.294,	1.667,	1.995,	2.382,	2.649,	3.213  },
+/* 70. */	{	1.294,	1.667,	1.994,	2.381,	2.648,	3.211  },
+/* 71. */	{	1.294,	1.667,	1.994,	2.380,	2.647,	3.209  },
+/* 72. */	{	1.293,	1.666,	1.993,	2.379,	2.646,	3.207  },
+/* 73. */	{	1.293,	1.666,	1.993,	2.379,	2.645,	3.206  },
+/* 74. */	{	1.293,	1.666,	1.993,	2.378,	2.644,	3.204  },
+/* 75. */	{	1.293,	1.665,	1.992,	2.377,	2.643,	3.202  },
+/* 76. */	{	1.293,	1.665,	1.992,	2.376,	2.642,	3.201  },
+/* 77. */	{	1.293,	1.665,	1.991,	2.376,	2.641,	3.199  },
+/* 78. */	{	1.292,	1.665,	1.991,	2.375,	2.640,	3.198  },
+/* 79. */	{	1.292,	1.664,	1.990,	2.374,	2.640,	3.197  },
+/* 80. */	{	1.292,	1.664,	1.990,	2.374,	2.639,	3.195  },
+/* 81. */	{	1.292,	1.664,	1.990,	2.373,	2.638,	3.194  },
+/* 82. */	{	1.292,	1.664,	1.989,	2.373,	2.637,	3.193  },
+/* 83. */	{	1.292,	1.663,	1.989,	2.372,	2.636,	3.191  },
+/* 84. */	{	1.292,	1.663,	1.989,	2.372,	2.636,	3.190  },
+/* 85. */	{	1.292,	1.663,	1.988,	2.371,	2.635,	3.189  },
+/* 86. */	{	1.291,	1.663,	1.988,	2.370,	2.634,	3.188  },
+/* 87. */	{	1.291,	1.663,	1.988,	2.370,	2.634,	3.187  },
+/* 88. */	{	1.291,	1.662,	1.987,	2.369,	2.633,	3.185  },
+/* 89. */	{	1.291,	1.662,	1.987,	2.369,	2.632,	3.184  },
+/* 90. */	{	1.291,	1.662,	1.987,	2.368,	2.632,	3.183  },
+/* 91. */	{	1.291,	1.662,	1.986,	2.368,	2.631,	3.182  },
+/* 92. */	{	1.291,	1.662,	1.986,	2.368,	2.630,	3.181  },
+/* 93. */	{	1.291,	1.661,	1.986,	2.367,	2.630,	3.180  },
+/* 94. */	{	1.291,	1.661,	1.986,	2.367,	2.629,	3.179  },
+/* 95. */	{	1.291,	1.661,	1.985,	2.366,	2.629,	3.178  },
+/* 96. */	{	1.290,	1.661,	1.985,	2.366,	2.628,	3.177  },
+/* 97. */	{	1.290,	1.661,	1.985,	2.365,	2.627,	3.176  },
+/* 98. */	{	1.290,	1.661,	1.984,	2.365,	2.627,	3.175  },
+/* 99. */	{	1.290,	1.660,	1.984,	2.365,	2.626,	3.175  },
+/* 100. */	{	1.290,	1.660,	1.984,	2.364,	2.626,	3.174  }
+};
+
+#define	MAX_DS	8
+static char symbol[MAX_DS] = { ' ', 'x', '+', '*', '%', '#', '@', 'O' };
+
+struct dataset {
+	char *name;
+	double	*points;
+	unsigned lpoints;
+	double sy, syy;
+	unsigned n;
+};
+
+static struct dataset *
+NewSet(void)
+{
+	struct dataset *ds;
+
+	ds = calloc(1, sizeof *ds);
+	ds->lpoints = 100000;
+	ds->points = calloc(sizeof *ds->points, ds->lpoints);
+	return(ds);
+}
+
+static void
+AddPoint(struct dataset *ds, double a)
+{
+	double *dp;
+
+	if (ds->n >= ds->lpoints) {
+		dp = ds->points;
+		ds->lpoints *= 4;
+		ds->points = calloc(sizeof *ds->points, ds->lpoints);
+		memcpy(ds->points, dp, sizeof *dp * ds->n);
+		free(dp);
+	}
+	ds->points[ds->n++] = a;
+	ds->sy += a;
+	ds->syy += a * a;
+}
+
+static double
+Min(struct dataset *ds)
+{
+
+	return (ds->points[0]);
+}
+
+static double
+Max(struct dataset *ds)
+{
+
+	return (ds->points[ds->n -1]);
+}
+
+static double
+Avg(struct dataset *ds)
+{
+
+	return(ds->sy / ds->n);
+}
+
+static double
+Median(struct dataset *ds)
+{
+
+	return (ds->points[ds->n / 2]);
+}
+
+static double
+Var(struct dataset *ds)
+{
+
+	return (ds->syy - ds->sy * ds->sy / ds->n) / (ds->n - 1.0);
+}
+
+static double
+Stddev(struct dataset *ds)
+{
+
+	return sqrt(Var(ds));
+}
+
+static void
+VitalsHead(void)
+{
+
+	printf("    N           Min           Max        Median           Avg        Stddev\n");
+}
+
+static void
+Vitals(struct dataset *ds, int flag)
+{
+
+	printf("%c %3d %13.8g %13.8g %13.8g %13.8g %13.8g", symbol[flag],
+	    ds->n, Min(ds), Max(ds), Median(ds), Avg(ds), Stddev(ds));
+	printf("\n");
+}
+
+static void
+Relative(struct dataset *ds, struct dataset *rs, int confidx)
+{
+	double spool, s, d, e, t;
+	int i;
+
+	i = ds->n + rs->n - 2;
+	if (i > NSTUDENT)
+		t = student[0][confidx];
+	else
+		t = student[i][confidx];
+	spool = (ds->n - 1) * Var(ds) + (rs->n - 1) * Var(rs);
+	spool /= ds->n + rs->n - 2;
+	spool = sqrt(spool);
+	s = spool * sqrt(1.0 / ds->n + 1.0 / rs->n);
+	d = Avg(ds) - Avg(rs);
+	e = t * s;
+
+	if (fabs(d) > e) {
+	
+		printf("Difference at %.1f%% confidence\n", studentpct[confidx]);
+		printf("	%g +/- %g\n", d, e);
+		printf("	%g%% +/- %g%%\n", d * 100 / Avg(rs), e * 100 / Avg(rs));
+		printf("	(Student's t, pooled s = %g)\n", spool);
+	} else {
+		printf("No difference proven at %.1f%% confidence\n",
+		    studentpct[confidx]);
+	}
+}
+
+struct plot {
+	double		min;
+	double		max;
+	double		span;
+	int		width;
+
+	double		x0, dx;
+	int		height;
+	char		*data;
+	char		**bar;
+	int		separate_bars;
+	int		num_datasets;
+};
+
+static struct plot plot;
+
+static void
+SetupPlot(int width, int separate, int num_datasets)
+{
+	struct plot *pl;
+
+	pl = &plot;
+	pl->width = width;
+	pl->height = 0;
+	pl->data = NULL;
+	pl->bar = NULL;
+	pl->separate_bars = separate;
+	pl->num_datasets = num_datasets;
+	pl->min = 999e99;
+	pl->max = -999e99;
+}
+
+static void
+AdjPlot(double a)
+{
+	struct plot *pl;
+
+	pl = &plot;
+	if (a < pl->min)
+		pl->min = a;
+	if (a > pl->max)
+		pl->max = a;
+	pl->span = pl->max - pl->min;
+	pl->dx = pl->span / (pl->width - 1.0);
+	pl->x0 = pl->min - .5 * pl->dx;
+}
+
+static void
+DimPlot(struct dataset *ds)
+{
+	AdjPlot(Min(ds));
+	AdjPlot(Max(ds));
+	AdjPlot(Avg(ds) - Stddev(ds));
+	AdjPlot(Avg(ds) + Stddev(ds));
+}
+
+static void
+PlotSet(struct dataset *ds, int val)
+{
+	struct plot *pl;
+	int i, j, m, x;
+	unsigned n;
+	int bar;
+
+	pl = &plot;
+	if (pl->span == 0)
+		return;
+
+	if (pl->separate_bars)
+		bar = val-1;
+	else
+		bar = 0;
+
+	if (pl->bar == NULL) {
+		pl->bar = malloc(sizeof(char *) * pl->num_datasets);
+		memset(pl->bar, 0, sizeof(char*) * pl->num_datasets);
+	}
+	if (pl->bar[bar] == NULL) {
+		pl->bar[bar] = malloc(pl->width);
+		memset(pl->bar[bar], 0, pl->width);
+	}
+	
+	m = 1;
+	i = -1;
+	j = 0;
+	for (n = 0; n < ds->n; n++) {
+		x = (ds->points[n] - pl->x0) / pl->dx;
+		if (x == i) {
+			j++;
+			if (j > m)
+				m = j;
+		} else {
+			j = 1;
+			i = x;
+		}
+	}
+	m += 1;
+	if (m > pl->height) {
+		pl->data = realloc(pl->data, pl->width * m);
+		memset(pl->data + pl->height * pl->width, 0,
+		    (m - pl->height) * pl->width);
+	}
+	pl->height = m;
+	i = -1;
+	for (n = 0; n < ds->n; n++) {
+		x = (ds->points[n] - pl->x0) / pl->dx;
+		if (x == i) {
+			j++;
+		} else {
+			j = 1;
+			i = x;
+		}
+		pl->data[j * pl->width + x] |= val;
+	}
+	if (!isnan(Stddev(ds))) {
+		x = ((Avg(ds) - Stddev(ds)) - pl->x0) / pl->dx;
+		m = ((Avg(ds) + Stddev(ds)) - pl->x0) / pl->dx;
+		pl->bar[bar][m] = '|';
+		pl->bar[bar][x] = '|';
+		for (i = x + 1; i < m; i++)
+			if (pl->bar[bar][i] == 0)
+				pl->bar[bar][i] = '_';
+	}
+	x = (Median(ds) - pl->x0) / pl->dx;
+	pl->bar[bar][x] = 'M';
+	x = (Avg(ds) - pl->x0) / pl->dx;
+	pl->bar[bar][x] = 'A';
+}
+
+static void
+DumpPlot(void)
+{
+	struct plot *pl;
+	int i, j, k;
+
+	pl = &plot;
+	if (pl->span == 0) {
+		printf("[no plot, span is zero width]\n");
+		return;
+	}
+
+	putchar('+');
+	for (i = 0; i < pl->width; i++)
+		putchar('-');
+	putchar('+');
+	putchar('\n');
+	for (i = 1; i < pl->height; i++) {
+		putchar('|');
+		for (j = 0; j < pl->width; j++) {
+			k = pl->data[(pl->height - i) * pl->width + j];
+			if (k >= 0 && k < MAX_DS)
+				putchar(symbol[k]);
+			else
+				printf("[%02x]", k);
+		}
+		putchar('|');
+		putchar('\n');
+	}
+	for (i = 0; i < pl->num_datasets; i++) {
+		if (pl->bar[i] == NULL)
+			continue;
+		putchar('|');
+		for (j = 0; j < pl->width; j++) {
+			k = pl->bar[i][j];
+			if (k == 0)
+				k = ' ';
+			putchar(k);
+		}
+		putchar('|');
+		putchar('\n');
+	}
+	putchar('+');
+	for (i = 0; i < pl->width; i++)
+		putchar('-');
+	putchar('+');
+	putchar('\n');
+}
+
+static int
+dbl_cmp(const void *a, const void *b)
+{
+	const double *aa = a;
+	const double *bb = b;
+
+	if (*aa < *bb)
+		return (-1);
+	else if (*aa > *bb)
+		return (1);
+	else
+		return (0);
+}
+
+static struct dataset *
+ReadSet(const char *n, int column, const char *delim)
+{
+	FILE *f;
+	char buf[BUFSIZ], *p, *t;
+	struct dataset *s;
+	double d;
+	int line;
+	int i;
+
+	if (n == NULL) {
+		f = stdin;
+		n = "<stdin>";
+	} else if (!strcmp(n, "-")) {
+		f = stdin;
+		n = "<stdin>";
+	} else {
+		f = fopen(n, "r");
+	}
+	if (f == NULL)
+		err(1, "Cannot open %s", n);
+	s = NewSet();
+	s->name = strdup(n);
+	line = 0;
+	while (fgets(buf, sizeof buf, f) != NULL) {
+		line++;
+
+		i = strlen(buf);
+		if (buf[i-1] == '\n')
+			buf[i-1] = '\0';
+		for (i = 1, t = strtok(buf, delim);
+		     t != NULL && *t != '#';
+		     i++, t = strtok(NULL, delim)) {
+			if (i == column)
+				break;
+		}
+		if (t == NULL || *t == '#')
+			continue;
+
+		d = strtod(t, &p);
+		if (p != NULL && *p != '\0')
+			err(2, "Invalid data on line %d in %s\n", line, n);
+		if (*buf != '\0')
+			AddPoint(s, d);
+	}
+	fclose(f);
+	if (s->n < 3) {
+		fprintf(stderr,
+		    "Dataset %s must contain at least 3 data points\n", n);
+		exit (2);
+	}
+	qsort(s->points, s->n, sizeof *s->points, dbl_cmp);
+	return (s);
+}
+
+static void
+usage(char const *whine)
+{
+	int i;
+
+	fprintf(stderr, "%s\n", whine);
+	fprintf(stderr,
+	    "Usage: ministat [-C column] [-c confidence] [-d delimiter(s)] [-ns] [-w width] [file [file ...]]\n");
+	fprintf(stderr, "\tconfidence = {");
+	for (i = 0; i < NCONF; i++) {
+		fprintf(stderr, "%s%g%%",
+		    i ? ", " : "",
+		    studentpct[i]);
+	}
+	fprintf(stderr, "}\n");
+	fprintf(stderr, "\t-C : column number to extract (starts and defaults to 1)\n");
+	fprintf(stderr, "\t-d : delimiter(s) string, default to \" \\t\"\n");
+	fprintf(stderr, "\t-n : print summary statistics only, no graph/test\n");
+	fprintf(stderr, "\t-s : print avg/median/stddev bars on separate lines\n");
+	fprintf(stderr, "\t-w : width of graph/test output (default 74 or terminal width)\n");
+	exit (2);
+}
+
+int
+main(int argc, char **argv)
+{
+	struct dataset *ds[7];
+	int nds;
+	double a;
+	const char *delim = " \t";
+	char *p;
+	int c, i, ci;
+	int column = 1;
+	int flag_s = 0;
+	int flag_n = 0;
+	int termwidth = 74;
+
+	if (isatty(STDOUT_FILENO)) {
+		struct winsize wsz;
+
+		if ((p = getenv("COLUMNS")) != NULL && *p != '\0')
+			termwidth = atoi(p);
+		else if (ioctl(STDOUT_FILENO, TIOCGWINSZ, &wsz) != -1 &&
+			 wsz.ws_col > 0)
+			termwidth = wsz.ws_col - 2;
+	}
+
+	ci = -1;
+	while ((c = getopt(argc, argv, "C:c:d:snw:")) != -1)
+		switch (c) {
+		case 'C':
+			column = strtol(optarg, &p, 10);
+			if (p != NULL && *p != '\0')
+				usage("Invalid column number.");
+			if (column <= 0)
+				usage("Column number should be positive.");
+			break;
+		case 'c':
+			a = strtod(optarg, &p);
+			if (p != NULL && *p != '\0')
+				usage("Not a floating point number");
+			for (i = 0; i < NCONF; i++)
+				if (a == studentpct[i])
+					ci = i;
+			if (ci == -1)
+				usage("No support for confidence level");
+			break;
+		case 'd':
+			if (*optarg == '\0')
+				usage("Can't use empty delimiter string");
+			delim = optarg;
+			break;
+		case 'n':
+			flag_n = 1;
+			break;
+		case 's':
+			flag_s = 1;
+			break;
+		case 'w':
+			termwidth = strtol(optarg, &p, 10);
+			if (p != NULL && *p != '\0')
+				usage("Invalid width, not a number.");
+			if (termwidth < 0)
+				usage("Unable to move beyond left margin.");
+			break;
+		default:
+			usage("Unknown option");
+			break;
+		}
+	if (ci == -1)
+		ci = 2;
+	argc -= optind;
+	argv += optind;
+
+	if (argc == 0) {
+		ds[0] = ReadSet("-", column, delim);
+		nds = 1;
+	} else {
+		if (argc > (MAX_DS - 1))
+			usage("Too many datasets.");
+		nds = argc;
+		for (i = 0; i < nds; i++)
+			ds[i] = ReadSet(argv[i], column, delim);
+	}
+
+	for (i = 0; i < nds; i++) 
+		printf("%c %s\n", symbol[i+1], ds[i]->name);
+
+	if (!flag_n) {
+		SetupPlot(termwidth, flag_s, nds);
+		for (i = 0; i < nds; i++)
+			DimPlot(ds[i]);
+		for (i = 0; i < nds; i++)
+			PlotSet(ds[i], i + 1);
+		DumpPlot();
+	}
+	VitalsHead();
+	Vitals(ds[0], 1);
+	for (i = 1; i < nds; i++) {
+		Vitals(ds[i], i + 1);
+		if (!flag_n)
+			Relative(ds[i], ds[0], ci);
+	}
+	exit(0);
+}