diff options
| author | Johannes Ranke <jranke@uni-bremen.de> | 2015-05-19 10:51:31 +0200 |
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2015-05-19 10:51:31 +0200 |
| commit | d865b5d16fc3110d95d8ae5fa5c65b722eb4fc0d (patch) | |
| tree | 7433dc567e97caf8d4201d68c772f04b544a2784 /README.md | |
| parent | e338c9a5a8da42e5f7b8940b96d150752767d75a (diff) | |
Avoid distracting output in README
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 145 |
1 files changed, 1 insertions, 144 deletions
@@ -42,14 +42,6 @@ The simplest usage example that I can think of, using model shorthand notation ```r library(mkin) -``` - -``` -## Loading required package: minpack.lm -## Loading required package: rootSolve -``` - -```r fit <- mkinfit("SFO", FOCUS_2006_C, quiet = TRUE) plot(fit, show_residuals = TRUE) ``` @@ -81,9 +73,6 @@ plot(fit2, show_residuals = TRUE) A fairly complex usage example using another built-in dataset: -``` -## Loading required package: methods -``` ```r @@ -95,141 +84,9 @@ model <- mkinmod( B1 = mkinsub("SFO"), C1 = mkinsub("SFO"), A2 = mkinsub("SFO"), use_of_ff = "max") -``` -``` -## Compiling differential equation model from auto-generated C code... -``` - -```r -fit3 <- mkinfit(model, data, method.modFit = "Port") -``` +fit3 <- mkinfit(model, data, method.modFit = "Port", quiet = TRUE) -``` -## Model cost at call 1 : 2511.655 -## Model cost at call 2 : 2511.655 -## Model cost at call 11 : 1436.639 -## Model cost at call 12 : 1436.638 -## Model cost at call 13 : 1436.566 -## Model cost at call 21 : 643.6583 -## Model cost at call 22 : 643.6583 -## Model cost at call 23 : 643.6582 -## Model cost at call 29 : 643.6576 -## Model cost at call 31 : 454.0244 -## Model cost at call 32 : 454.0241 -## Model cost at call 34 : 454.0229 -## Model cost at call 43 : 378.1144 -## Model cost at call 45 : 378.1143 -## Model cost at call 53 : 357.245 -## Model cost at call 55 : 357.2449 -## Model cost at call 56 : 357.2447 -## Model cost at call 63 : 354.3415 -## Model cost at call 64 : 354.3415 -## Model cost at call 65 : 354.3413 -## Model cost at call 73 : 332.49 -## Model cost at call 74 : 332.49 -## Model cost at call 81 : 332.4899 -## Model cost at call 83 : 315.2962 -## Model cost at call 84 : 306.3085 -## Model cost at call 86 : 306.3084 -## Model cost at call 87 : 306.3084 -## Model cost at call 92 : 306.3083 -## Model cost at call 94 : 290.6377 -## Model cost at call 96 : 290.6375 -## Model cost at call 98 : 290.6375 -## Model cost at call 101 : 290.6371 -## Model cost at call 105 : 269.09 -## Model cost at call 107 : 269.0899 -## Model cost at call 115 : 259.7551 -## Model cost at call 120 : 259.7549 -## Model cost at call 123 : 259.7547 -## Model cost at call 126 : 253.7973 -## Model cost at call 128 : 253.7972 -## Model cost at call 137 : 251.7358 -## Model cost at call 139 : 251.7358 -## Model cost at call 147 : 250.7394 -## Model cost at call 149 : 250.7393 -## Model cost at call 157 : 249.1148 -## Model cost at call 159 : 249.1148 -## Model cost at call 167 : 246.8768 -## Model cost at call 169 : 246.8768 -## Model cost at call 177 : 244.9758 -## Model cost at call 179 : 244.9758 -## Model cost at call 187 : 243.2914 -## Model cost at call 189 : 243.2914 -## Model cost at call 190 : 243.2914 -## Model cost at call 194 : 243.2914 -## Model cost at call 199 : 242.9202 -## Model cost at call 201 : 242.9202 -## Model cost at call 202 : 242.9202 -## Model cost at call 209 : 242.7695 -## Model cost at call 211 : 242.7695 -## Model cost at call 216 : 242.7695 -## Model cost at call 219 : 242.5771 -## Model cost at call 221 : 242.5771 -## Model cost at call 229 : 242.4402 -## Model cost at call 231 : 242.4402 -## Model cost at call 239 : 242.1878 -## Model cost at call 241 : 242.1878 -## Model cost at call 249 : 242.0553 -## Model cost at call 251 : 242.0553 -## Model cost at call 256 : 242.0553 -## Model cost at call 259 : 241.8761 -## Model cost at call 260 : 241.7412 -## Model cost at call 261 : 241.6954 -## Model cost at call 264 : 241.6954 -## Model cost at call 275 : 241.5982 -## Model cost at call 277 : 241.5982 -## Model cost at call 285 : 241.5459 -## Model cost at call 287 : 241.5459 -## Model cost at call 295 : 241.4837 -## Model cost at call 297 : 241.4837 -## Model cost at call 305 : 241.3882 -## Model cost at call 306 : 241.3161 -## Model cost at call 307 : 241.2315 -## Model cost at call 309 : 241.2315 -## Model cost at call 314 : 241.2315 -## Model cost at call 317 : 240.9738 -## Model cost at call 322 : 240.9738 -## Model cost at call 327 : 240.8244 -## Model cost at call 329 : 240.8244 -## Model cost at call 337 : 240.7005 -## Model cost at call 339 : 240.7005 -## Model cost at call 342 : 240.7005 -## Model cost at call 347 : 240.629 -## Model cost at call 350 : 240.629 -## Model cost at call 357 : 240.6193 -## Model cost at call 358 : 240.6193 -## Model cost at call 364 : 240.6193 -## Model cost at call 367 : 240.6193 -## Model cost at call 369 : 240.5873 -## Model cost at call 374 : 240.5873 -## Model cost at call 380 : 240.578 -## Model cost at call 382 : 240.578 -## Model cost at call 390 : 240.5723 -## Model cost at call 393 : 240.5723 -## Model cost at call 403 : 240.569 -## Model cost at call 404 : 240.569 -## Model cost at call 413 : 240.569 -## Model cost at call 415 : 240.5688 -## Model cost at call 416 : 240.5688 -## Model cost at call 417 : 240.5688 -## Model cost at call 431 : 240.5686 -## Model cost at call 432 : 240.5686 -## Model cost at call 434 : 240.5686 -## Model cost at call 443 : 240.5686 -## Model cost at call 444 : 240.5686 -## Model cost at call 447 : 240.5686 -## Model cost at call 449 : 240.5686 -## Model cost at call 450 : 240.5686 -## Model cost at call 466 : 240.5686 -## Model cost at call 470 : 240.5686 -## Model cost at call 485 : 240.5686 -## Model cost at call 509 : 240.5686 -## Optimisation by method Port successfully terminated. -``` - -```r plot(fit3, show_residuals = TRUE) ``` |