1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
|
<!-- Generated by pkgdown: do not edit by hand -->
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Datasets on aerobic soil metabolism of 2,4,5-T in six soils — mccall81_245T • mkin</title>
<!-- jquery -->
<script src="https://code.jquery.com/jquery-3.1.0.min.js" integrity="sha384-nrOSfDHtoPMzJHjVTdCopGqIqeYETSXhZDFyniQ8ZHcVy08QesyHcnOUpMpqnmWq" crossorigin="anonymous"></script>
<!-- Bootstrap -->
<link href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u" crossorigin="anonymous">
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha384-Tc5IQib027qvyjSMfHjOMaLkfuWVxZxUPnCJA7l2mCWNIpG9mGCD8wGNIcPD7Txa" crossorigin="anonymous"></script>
<!-- Font Awesome icons -->
<link href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css" rel="stylesheet" integrity="sha384-T8Gy5hrqNKT+hzMclPo118YTQO6cYprQmhrYwIiQ/3axmI1hQomh7Ud2hPOy8SP1" crossorigin="anonymous">
<!-- pkgdown -->
<link href="../pkgdown.css" rel="stylesheet">
<script src="../jquery.sticky-kit.min.js"></script>
<script src="../pkgdown.js"></script>
<!-- mathjax -->
<script src='https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML'></script>
<!--[if lt IE 9]>
<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
<![endif]-->
</head>
<body>
<div class="container template-reference-topic">
<header>
<div class="navbar navbar-default navbar-fixed-top" role="navigation">
<div class="container">
<div class="navbar-header">
<button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar">
<span class="icon-bar"></span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</button>
<a class="navbar-brand" href="../index.html">mkin</a>
</div>
<div id="navbar" class="navbar-collapse collapse">
<ul class="nav navbar-nav">
<li>
<a href="../reference/index.html">Reference</a>
</li>
<li>
<a href="../articles/index.html">Articles</a>
</li>
<li>
<a href="../news/index.html">News</a>
</li>
</ul>
<ul class="nav navbar-nav navbar-right">
<li>
<a href="http://github.com/jranke/mkin">
<span class="fa fa-github fa-lg"></span>
</a>
</li>
</ul>
</div><!--/.nav-collapse -->
</div><!--/.container -->
</div><!--/.navbar -->
</header>
<div class="row">
<div class="col-md-9 contents">
<div class="page-header">
<h1>Datasets on aerobic soil metabolism of 2,4,5-T in six soils</h1>
</div>
<p>Time course of 2,4,5-trichlorophenoxyacetic acid, and the corresponding
2,4,5-trichlorophenol and 2,4,5-trichloroanisole as recovered in diethylether
extracts.</p>
<pre><span class='no'>mccall81_245T</span></pre>
<h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
<p>A dataframe containing the following variables.
<dl class='dl-horizontal'>
<dt><code>name</code></dt><dd>the name of the compound observed. Note that T245 is used as
an acronym for 2,4,5-T. T245 is a legitimate object name
in R, which is necessary for specifying models using
<code><a href='mkinmod.html'>mkinmod</a></code>.</dd>
<dt><code>time</code></dt><dd>a numeric vector containing sampling times in days after
treatment</dd>
<dt><code>value</code></dt><dd>a numeric vector containing concentrations in percent of applied radioactivity</dd>
<dt><code>soil</code></dt><dd>a factor containing the name of the soil</dd>
</dl></p>
<h2 class="hasAnchor" id="source"><a class="anchor" href="#source"></a>Source</h2>
<p>McCall P, Vrona SA, Kelley SS (1981) Fate of uniformly carbon-14 ring labeled 2,4,5-Trichlorophenoxyacetic acid and 2,4-dichlorophenoxyacetic acid. J Agric Chem 29, 100-107
<a href = 'http://dx.doi.org/10.1021/jf00103a026'>http://dx.doi.org/10.1021/jf00103a026</a></p>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><div class='input'> <span class='no'>SFO_SFO_SFO</span> <span class='kw'><-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span>(<span class='kw'>T245</span> <span class='kw'>=</span> <span class='fu'>list</span>(<span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"SFO"</span>, <span class='kw'>to</span> <span class='kw'>=</span> <span class='st'>"phenol"</span>),
<span class='kw'>phenol</span> <span class='kw'>=</span> <span class='fu'>list</span>(<span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"SFO"</span>, <span class='kw'>to</span> <span class='kw'>=</span> <span class='st'>"anisole"</span>),
<span class='kw'>anisole</span> <span class='kw'>=</span> <span class='fu'>list</span>(<span class='kw'>type</span> <span class='kw'>=</span> <span class='st'>"SFO"</span>))</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'>
<span class='no'>fit.1</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO_SFO</span>, <span class='fu'>subset</span>(<span class='no'>mccall81_245T</span>, <span class='no'>soil</span> <span class='kw'>==</span> <span class='st'>"Commerce"</span>))</div><div class='output co'>#> Model cost at call 1 : 13655.2
#> Model cost at call 2 : 13655.2
#> Model cost at call 8 : 9191.59
#> Model cost at call 16 : 5663.584
#> Model cost at call 17 : 5663.582
#> Model cost at call 18 : 5663.566
#> Model cost at call 19 : 5663.55
#> Model cost at call 23 : 3035.567
#> Model cost at call 24 : 3035.566
#> Model cost at call 26 : 3035.561
#> Model cost at call 27 : 3035.559
#> Model cost at call 28 : 3035.558
#> Model cost at call 30 : 2252.97
#> Model cost at call 31 : 2252.965
#> Model cost at call 32 : 2252.965
#> Model cost at call 36 : 2252.958
#> Model cost at call 37 : 1220.201
#> Model cost at call 38 : 1220.2
#> Model cost at call 39 : 1220.199
#> Model cost at call 41 : 1220.183
#> Model cost at call 45 : 507.1358
#> Model cost at call 48 : 507.1353
#> Model cost at call 52 : 198.5695
#> Model cost at call 55 : 198.5694
#> Model cost at call 60 : 175.8239
#> Model cost at call 63 : 175.8239
#> Model cost at call 67 : 170.6316
#> Model cost at call 69 : 170.6316
#> Model cost at call 74 : 165.881
#> Model cost at call 77 : 165.881
#> Model cost at call 81 : 161.6423
#> Model cost at call 84 : 161.6423
#> Model cost at call 88 : 158.2953
#> Model cost at call 91 : 158.2953
#> Model cost at call 95 : 156.7311
#> Model cost at call 97 : 156.731
#> Model cost at call 103 : 155.998
#> Model cost at call 106 : 155.998
#> Model cost at call 110 : 155.6263
#> Model cost at call 113 : 155.6262
#> Model cost at call 116 : 155.6262
#> Model cost at call 117 : 155.1202
#> Model cost at call 120 : 155.1202
#> Model cost at call 124 : 154.4133
#> Model cost at call 125 : 153.8489
#> Model cost at call 126 : 152.7413
#> Model cost at call 129 : 152.7413
#> Model cost at call 132 : 152.7413
#> Model cost at call 133 : 150.3995
#> Model cost at call 134 : 148.7256
#> Model cost at call 135 : 147.2618
#> Model cost at call 137 : 147.2618
#> Model cost at call 139 : 147.2618
#> Model cost at call 142 : 145.115
#> Model cost at call 144 : 145.115
#> Model cost at call 145 : 145.115
#> Model cost at call 146 : 145.115
#> Model cost at call 147 : 145.115
#> Model cost at call 150 : 143.7878
#> Model cost at call 157 : 142.8531
#> Model cost at call 160 : 142.8531
#> Model cost at call 164 : 142.7325
#> Model cost at call 167 : 142.7325
#> Model cost at call 169 : 142.7325
#> Model cost at call 172 : 141.8393
#> Model cost at call 173 : 141.8393
#> Model cost at call 174 : 141.8393
#> Model cost at call 179 : 141.3446
#> Model cost at call 180 : 141.3446
#> Model cost at call 181 : 141.3446
#> Model cost at call 186 : 141.1111
#> Model cost at call 193 : 140.7786
#> Model cost at call 200 : 140.451
#> Model cost at call 207 : 140.1395
#> Model cost at call 214 : 139.7903
#> Model cost at call 221 : 139.5476
#> Model cost at call 228 : 139.4441
#> Model cost at call 235 : 139.3204
#> Model cost at call 242 : 139.2508
#> Model cost at call 249 : 139.1891
#> Model cost at call 256 : 139.1561
#> Model cost at call 263 : 139.137
#> Model cost at call 270 : 139.1278
#> Model cost at call 271 : 139.1278
#> Model cost at call 279 : 139.1211
#> Model cost at call 280 : 139.1211
#> Model cost at call 281 : 139.1211
#> Model cost at call 282 : 139.1211
#> Model cost at call 286 : 139.1179
#> Model cost at call 287 : 139.1179
#> Model cost at call 291 : 139.1179
#> Model cost at call 294 : 139.1179
#> Model cost at call 298 : 139.1158
#> Model cost at call 299 : 139.1158
#> Model cost at call 302 : 139.1158
#> Model cost at call 310 : 139.1148
#> Model cost at call 311 : 139.1148
#> Model cost at call 315 : 139.1148
#> Model cost at call 322 : 139.1143
#> Model cost at call 323 : 139.1143
#> Model cost at call 326 : 139.1143
#> Model cost at call 334 : 139.114
#> Model cost at call 335 : 139.114
#> Model cost at call 338 : 139.114
#> Model cost at call 339 : 139.114
#> Model cost at call 346 : 139.1139
#> Model cost at call 347 : 139.1139
#> Model cost at call 350 : 139.1139
#> Model cost at call 351 : 139.1139
#> Model cost at call 358 : 139.1139
#> Model cost at call 359 : 139.1139
#> Model cost at call 362 : 139.1139
#> Model cost at call 363 : 139.1139
#> Model cost at call 370 : 139.1138
#> Model cost at call 382 : 139.1138
#> Model cost at call 390 : 139.1138
#> Model cost at call 395 : 139.1138
#> Model cost at call 403 : 139.1138
#> Model cost at call 408 : 139.1138
#> Model cost at call 416 : 139.1138
#> Model cost at call 421 : 139.1138
#> Model cost at call 429 : 139.1138
#> Model cost at call 434 : 139.1138
#> Model cost at call 442 : 139.1138
#> Model cost at call 447 : 139.1138
#> Model cost at call 455 : 139.1138
#> Model cost at call 460 : 139.1138
#> Model cost at call 468 : 139.1138
#> Model cost at call 473 : 139.1138
#> Model cost at call 481 : 139.1138
#> Model cost at call 486 : 139.1138
#> Model cost at call 494 : 139.1138
#> Model cost at call 499 : 139.1138
#> Model cost at call 507 : 139.1138
#> Model cost at call 512 : 139.1138
#> Model cost at call 519 : 139.1138
#> Model cost at call 520 : 139.1138
#> Model cost at call 525 : 139.1138
#> Model cost at call 538 : 139.1138
#> Model cost at call 545 : 139.1138
#> Model cost at call 546 : 139.1138
#> Model cost at call 551 : 139.1138
#> Model cost at call 558 : 139.1138
#> Model cost at call 559 : 139.1138
#> Model cost at call 564 : 139.1138
#> Model cost at call 571 : 139.1138
#> Model cost at call 580 : 139.1138
#> Model cost at call 588 : 139.1138 </div><div class='output co'>#> <span class='warning'>Warning: Optimisation by method Port did not converge.</span>
#> <span class='warning'>Convergence code is 1</span></div><div class='input'> <span class='fu'>summary</span>(<span class='no'>fit.1</span>, <span class='kw'>data</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)</div><div class='output co'>#> mkin version: 0.9.44.9000
#> R version: 3.3.2
#> Date of fit: Fri Nov 18 15:19:33 2016
#> Date of summary: Fri Nov 18 15:19:33 2016
#>
#>
#> Warning: Optimisation by method Port did not converge.
#> Convergence code is 1
#>
#>
#> Equations:
#> d_T245/dt = - k_T245_sink * T245 - k_T245_phenol * T245
#> d_phenol/dt = + k_T245_phenol * T245 - k_phenol_sink * phenol -
#> k_phenol_anisole * phenol
#> d_anisole/dt = + k_phenol_anisole * phenol - k_anisole_sink * anisole
#>
#> Model predictions using solution type deSolve
#>
#> Fitted with method Port using 590 model solutions performed in 3.45 s
#>
#> Weighting: none
#>
#> Starting values for parameters to be optimised:
#> value type
#> T245_0 100.9000 state
#> k_T245_sink 0.1000 deparm
#> k_T245_phenol 0.1001 deparm
#> k_phenol_sink 0.1002 deparm
#> k_phenol_anisole 0.1003 deparm
#> k_anisole_sink 0.1004 deparm
#>
#> Starting values for the transformed parameters actually optimised:
#> value lower upper
#> T245_0 100.900000 -Inf Inf
#> log_k_T245_sink -2.302585 -Inf Inf
#> log_k_T245_phenol -2.301586 -Inf Inf
#> log_k_phenol_sink -2.300587 -Inf Inf
#> log_k_phenol_anisole -2.299590 -Inf Inf
#> log_k_anisole_sink -2.298593 -Inf Inf
#>
#> Fixed parameter values:
#> value type
#> phenol_0 0 state
#> anisole_0 0 state
#>
#> Optimised, transformed parameters with symmetric confidence intervals:
#> Estimate Std. Error Lower Upper
#> T245_0 103.9000 NA NA NA
#> log_k_T245_sink -4.1130 NA NA NA
#> log_k_T245_phenol -3.6120 NA NA NA
#> log_k_phenol_sink -26.3900 NA NA NA
#> log_k_phenol_anisole -0.9037 NA NA NA
#> log_k_anisole_sink -5.0090 NA NA NA
#>
#> Parameter correlation:</div><div class='output co'>#> <span class='warning'>Warning: Could not estimate covariance matrix; singular system:</span></div><div class='output co'>#> Could not estimate covariance matrix; singular system:
#>
#> Residual standard error: 2.78 on 18 degrees of freedom
#>
#> Backtransformed parameters:
#> Confidence intervals for internally transformed parameters are asymmetric.
#> t-test (unrealistically) based on the assumption of normal distribution
#> for estimators of untransformed parameters.
#> Estimate t value Pr(>t) Lower Upper
#> T245_0 1.039e+02 4.282e+01 7.236e-20 NA NA
#> k_T245_sink 1.636e-02 8.901e-01 1.926e-01 NA NA
#> k_T245_phenol 2.701e-02 1.504e+00 7.498e-02 NA NA
#> k_phenol_sink 3.457e-12 1.230e-11 5.000e-01 NA NA
#> k_phenol_anisole 4.051e-01 2.518e+00 1.075e-02 NA NA
#> k_anisole_sink 6.679e-03 8.146e+00 9.469e-08 NA NA
#>
#> Chi2 error levels in percent:
#> err.min n.optim df
#> All data 10.070 6 16
#> T245 7.908 3 5
#> phenol 106.445 2 5
#> anisole 5.379 1 6
#>
#> Resulting formation fractions:
#> ff
#> T245_sink 3.772e-01
#> T245_phenol 6.228e-01
#> phenol_sink 8.534e-12
#> phenol_anisole 1.000e+00
#> anisole_sink 1.000e+00
#>
#> Estimated disappearance times:
#> DT50 DT90
#> T245 15.982 53.091
#> phenol 1.711 5.685
#> anisole 103.784 344.763</div><div class='input'>
<span class='co'># No covariance matrix and k_phenol_sink is really small, therefore fix it to zero</span>
<span class='no'>fit.2</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO_SFO</span>, <span class='fu'>subset</span>(<span class='no'>mccall81_245T</span>, <span class='no'>soil</span> <span class='kw'>==</span> <span class='st'>"Commerce"</span>),
<span class='kw'>parms.ini</span> <span class='kw'>=</span> <span class='fu'>c</span>(<span class='kw'>k_phenol_sink</span> <span class='kw'>=</span> <span class='fl'>0</span>),
<span class='kw'>fixed_parms</span> <span class='kw'>=</span> <span class='st'>"k_phenol_sink"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
<span class='fu'>summary</span>(<span class='no'>fit.2</span>, <span class='kw'>data</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>)</div><div class='output co'>#> mkin version: 0.9.44.9000
#> R version: 3.3.2
#> Date of fit: Fri Nov 18 15:19:35 2016
#> Date of summary: Fri Nov 18 15:19:35 2016
#>
#> Equations:
#> d_T245/dt = - k_T245_sink * T245 - k_T245_phenol * T245
#> d_phenol/dt = + k_T245_phenol * T245 - k_phenol_sink * phenol -
#> k_phenol_anisole * phenol
#> d_anisole/dt = + k_phenol_anisole * phenol - k_anisole_sink * anisole
#>
#> Model predictions using solution type deSolve
#>
#> Fitted with method Port using 246 model solutions performed in 1.477 s
#>
#> Weighting: none
#>
#> Starting values for parameters to be optimised:
#> value type
#> T245_0 100.9000 state
#> k_T245_sink 0.1000 deparm
#> k_T245_phenol 0.1001 deparm
#> k_phenol_anisole 0.1002 deparm
#> k_anisole_sink 0.1003 deparm
#>
#> Starting values for the transformed parameters actually optimised:
#> value lower upper
#> T245_0 100.900000 -Inf Inf
#> log_k_T245_sink -2.302585 -Inf Inf
#> log_k_T245_phenol -2.301586 -Inf Inf
#> log_k_phenol_anisole -2.300587 -Inf Inf
#> log_k_anisole_sink -2.299590 -Inf Inf
#>
#> Fixed parameter values:
#> value type
#> phenol_0 0 state
#> anisole_0 0 state
#> k_phenol_sink 0 deparm
#>
#> Optimised, transformed parameters with symmetric confidence intervals:
#> Estimate Std. Error Lower Upper
#> T245_0 103.9000 2.35200 98.930 108.8000
#> log_k_T245_sink -4.1130 0.13250 -4.390 -3.8350
#> log_k_T245_phenol -3.6120 0.05002 -3.716 -3.5070
#> log_k_phenol_anisole -0.9037 0.30580 -1.544 -0.2637
#> log_k_anisole_sink -5.0090 0.11180 -5.243 -4.7750
#>
#> Parameter correlation:
#> T245_0 log_k_T245_sink log_k_T245_phenol
#> T245_0 1.00000 0.63761 -0.1742
#> log_k_T245_sink 0.63761 1.00000 -0.3831
#> log_k_T245_phenol -0.17416 -0.38313 1.0000
#> log_k_phenol_anisole -0.05948 0.08745 -0.3047
#> log_k_anisole_sink -0.16208 -0.60469 0.5227
#> log_k_phenol_anisole log_k_anisole_sink
#> T245_0 -0.05948 -0.1621
#> log_k_T245_sink 0.08745 -0.6047
#> log_k_T245_phenol -0.30470 0.5227
#> log_k_phenol_anisole 1.00000 -0.1774
#> log_k_anisole_sink -0.17744 1.0000
#>
#> Residual standard error: 2.706 on 19 degrees of freedom
#>
#> Backtransformed parameters:
#> Confidence intervals for internally transformed parameters are asymmetric.
#> t-test (unrealistically) based on the assumption of normal distribution
#> for estimators of untransformed parameters.
#> Estimate t value Pr(>t) Lower Upper
#> T245_0 1.039e+02 44.160 6.462e-21 98.930000 108.80000
#> k_T245_sink 1.636e-02 7.545 1.978e-07 0.012400 0.02159
#> k_T245_phenol 2.701e-02 19.990 1.607e-14 0.024320 0.02999
#> k_phenol_anisole 4.051e-01 3.270 2.014e-03 0.213600 0.76820
#> k_anisole_sink 6.679e-03 8.942 1.544e-08 0.005285 0.00844
#>
#> Chi2 error levels in percent:
#> err.min n.optim df
#> All data 9.831 5 17
#> T245 7.908 3 5
#> phenol 99.808 1 6
#> anisole 5.379 1 6
#>
#> Resulting formation fractions:
#> ff
#> T245_sink 0.3772
#> T245_phenol 0.6228
#> phenol_anisole 1.0000
#> phenol_sink 0.0000
#> anisole_sink 1.0000
#>
#> Estimated disappearance times:
#> DT50 DT90
#> T245 15.982 53.091
#> phenol 1.711 5.685
#> anisole 103.784 344.763</div></pre>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
<h2>Contents</h2>
<ul class="nav nav-pills nav-stacked">
<li><a href="#format">Format</a></li>
<li><a href="#source">Source</a></li>
<li><a href="#examples">Examples</a></li>
</ul>
</div>
</div>
<footer>
<div class="copyright">
<p>Developed by Johannes Ranke.</p>
</div>
<div class="pkgdown">
<p>Site built with <a href="http://hadley.github.io/pkgdown/">pkgdown</a>.</p>
</div>
</footer>
</div>
</body>
</html>
|
