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authorJohannes Ranke <jranke@uni-bremen.de>2015-05-19 10:51:31 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2015-05-19 10:51:31 +0200
commitd865b5d16fc3110d95d8ae5fa5c65b722eb4fc0d (patch)
tree7433dc567e97caf8d4201d68c772f04b544a2784 /README.md
parente338c9a5a8da42e5f7b8940b96d150752767d75a (diff)
Avoid distracting output in README
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diff --git a/README.md b/README.md
index 454b0cd6..98daa6f9 100644
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@@ -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)
```

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