Function to test performance of LQAS classifier
Source:R/04-test_classifier.R
test_lqas_classifier.RdFunction to test performance of LQAS classifier
Usage
test_lqas_classifier(
replicates = 20,
runs = 50,
pop = NULL,
n = NULL,
d.lower = NULL,
d.upper = NULL,
p.lower = 0,
p.upper = 100,
fine = 1,
progress = TRUE
)Arguments
- replicates
Number of replicate LQAS simulations to perform. Default is set to 20 replicates
- runs
Number of simulation runs to perform per coverage proportion. Default is 50 runs
- pop
Population size from which simulated coverage survey data is to be taken from
- n
Sample size of actual or test coverage data
- d.lower
A numeric value for the lower classification threshold
- d.upper
A numeric value for the upper classification threshold
- p.lower
Starting proportion for simulations. Default is 0
- p.upper
Ending proportion for simulations. Default is 100
- fine
Granularity of simulated proportions; Defaul to 1
- progress
Logical. Should simulation progress be shown? Default is TRUE
Examples
test_lqas_classifier(replicates = 5, runs = 5,
pop = 10000, n = 40, d.lower = 60, d.upper = 90)
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#> $x
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#> 282 25 2 56
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#> 2158 11 1 27
#> 2159 14 1 27
#> 2160 12 1 27
#> 2161 10 1 28
#> 2162 10 1 28
#> 2163 10 1 28
#> 2164 15 1 28
#> 2165 15 1 28
#> 2166 13 1 29
#> 2167 10 1 29
#> 2168 17 1 29
#> 2169 10 1 29
#> 2170 14 1 29
#> 2171 10 1 30
#> 2172 15 1 30
#> 2173 11 1 30
#> 2174 14 1 30
#> 2175 8 1 30
#> 2176 13 1 31
#> 2177 6 1 31
#> 2178 13 1 31
#> 2179 9 1 31
#> 2180 14 1 31
#> 2181 13 1 32
#> 2182 10 1 32
#> 2183 14 1 32
#> 2184 15 1 32
#> 2185 13 1 32
#> 2186 10 1 33
#> 2187 14 1 33
#> 2188 14 1 33
#> 2189 11 1 33
#> 2190 10 1 33
#> 2191 21 1 34
#> 2192 17 1 34
#> 2193 14 1 34
#> 2194 13 1 34
#> 2195 15 1 34
#> 2196 14 1 35
#> 2197 11 1 35
#> 2198 14 1 35
#> 2199 13 1 35
#> 2200 11 1 35
#> 2201 14 1 36
#> 2202 13 1 36
#> 2203 13 1 36
#> 2204 17 1 36
#> 2205 13 1 36
#> 2206 19 1 37
#> 2207 17 1 37
#> 2208 15 1 37
#> 2209 18 1 37
#> 2210 13 1 37
#> 2211 16 1 38
#> 2212 23 1 38
#> 2213 14 1 38
#> 2214 17 1 38
#> 2215 15 1 38
#> 2216 17 1 39
#> 2217 16 1 39
#> 2218 11 1 39
#> 2219 17 1 39
#> 2220 21 1 39
#> 2221 18 1 40
#> 2222 12 1 40
#> 2223 10 1 40
#> 2224 14 1 40
#> 2225 16 1 40
#> 2226 14 1 41
#> 2227 21 1 41
#> 2228 11 1 41
#> 2229 11 1 41
#> 2230 13 1 41
#> 2231 17 1 42
#> 2232 19 1 42
#> 2233 16 1 42
#> 2234 22 1 42
#> 2235 16 1 42
#> 2236 17 1 43
#> 2237 22 1 43
#> 2238 15 1 43
#> 2239 13 1 43
#> 2240 20 1 43
#> 2241 20 1 44
#> 2242 15 1 44
#> 2243 24 1 44
#> 2244 18 1 44
#> 2245 15 1 44
#> 2246 21 1 45
#> 2247 16 1 45
#> 2248 21 1 45
#> 2249 12 1 45
#> 2250 24 1 45
#> 2251 14 1 46
#> 2252 19 1 46
#> 2253 15 1 46
#> 2254 21 1 46
#> 2255 15 1 46
#> 2256 18 1 47
#> 2257 19 1 47
#> 2258 18 1 47
#> 2259 19 1 47
#> 2260 21 1 47
#> 2261 17 1 48
#> 2262 18 1 48
#> 2263 23 1 48
#> 2264 15 1 48
#> 2265 17 1 48
#> 2266 21 1 49
#> 2267 18 1 49
#> 2268 16 1 49
#> 2269 22 1 49
#> 2270 18 1 49
#> 2271 16 1 50
#> 2272 24 1 50
#> 2273 19 1 50
#> 2274 23 1 50
#> 2275 17 1 50
#> 2276 28 2 51
#> 2277 21 1 51
#> 2278 30 2 51
#> 2279 23 1 51
#> 2280 26 2 51
#> 2281 16 1 52
#> 2282 17 1 52
#> 2283 29 2 52
#> 2284 24 1 52
#> 2285 19 1 52
#> 2286 15 1 53
#> 2287 19 1 53
#> 2288 26 2 53
#> 2289 20 1 53
#> 2290 24 1 53
#> 2291 28 2 54
#> 2292 22 1 54
#> 2293 20 1 54
#> 2294 27 2 54
#> 2295 21 1 54
#> 2296 22 1 55
#> 2297 24 1 55
#> 2298 26 2 55
#> 2299 25 2 55
#> 2300 20 1 55
#> 2301 26 2 56
#> 2302 22 1 56
#> 2303 23 1 56
#> 2304 23 1 56
#> 2305 26 2 56
#> 2306 21 1 57
#> 2307 19 1 57
#> 2308 24 1 57
#> 2309 22 1 57
#> 2310 21 1 57
#> 2311 23 1 58
#> 2312 22 1 58
#> 2313 27 2 58
#> 2314 20 1 58
#> 2315 23 1 58
#> 2316 24 1 59
#> 2317 22 1 59
#> 2318 22 1 59
#> 2319 21 1 59
#> 2320 20 1 59
#> 2321 28 2 60
#> 2322 21 1 60
#> 2323 23 1 60
#> 2324 24 1 60
#> 2325 22 1 60
#> 2326 23 1 61
#> 2327 27 2 61
#> 2328 29 2 61
#> 2329 23 1 61
#> 2330 25 2 61
#> 2331 27 2 62
#> 2332 26 2 62
#> 2333 28 2 62
#> 2334 23 1 62
#> 2335 25 2 62
#> 2336 21 1 63
#> 2337 24 1 63
#> 2338 26 2 63
#> 2339 24 1 63
#> 2340 25 2 63
#> 2341 23 1 64
#> 2342 23 1 64
#> 2343 23 1 64
#> 2344 28 2 64
#> 2345 25 2 64
#> 2346 23 1 65
#> 2347 24 1 65
#> 2348 29 2 65
#> 2349 31 2 65
#> 2350 25 2 65
#> 2351 29 2 66
#> 2352 28 2 66
#> 2353 30 2 66
#> 2354 28 2 66
#> 2355 26 2 66
#> 2356 31 2 67
#> 2357 31 2 67
#> 2358 27 2 67
#> 2359 28 2 67
#> 2360 26 2 67
#> 2361 32 2 68
#> 2362 31 2 68
#> 2363 20 1 68
#> 2364 28 2 68
#> 2365 25 2 68
#> 2366 28 2 69
#> 2367 27 2 69
#> 2368 26 2 69
#> 2369 28 2 69
#> 2370 26 2 69
#> 2371 29 2 70
#> 2372 31 2 70
#> 2373 33 2 70
#> 2374 27 2 70
#> 2375 27 2 70
#> 2376 23 1 71
#> 2377 28 2 71
#> 2378 28 2 71
#> 2379 29 2 71
#> 2380 34 2 71
#> 2381 30 2 72
#> 2382 30 2 72
#> 2383 29 2 72
#> 2384 33 2 72
#> 2385 29 2 72
#> 2386 28 2 73
#> 2387 34 2 73
#> 2388 30 2 73
#> 2389 24 1 73
#> 2390 27 2 73
#> 2391 30 2 74
#> 2392 29 2 74
#> 2393 27 2 74
#> 2394 28 2 74
#> 2395 27 2 74
#> 2396 29 2 75
#> 2397 27 2 75
#> 2398 32 2 75
#> 2399 29 2 75
#> 2400 29 2 75
#> 2401 28 2 76
#> 2402 33 2 76
#> 2403 32 2 76
#> 2404 30 2 76
#> 2405 27 2 76
#> 2406 32 2 77
#> 2407 36 2 77
#> 2408 28 2 77
#> 2409 32 2 77
#> 2410 33 2 77
#> 2411 26 2 78
#> 2412 27 2 78
#> 2413 32 2 78
#> 2414 31 2 78
#> 2415 35 2 78
#> 2416 33 2 79
#> 2417 32 2 79
#> 2418 25 2 79
#> 2419 34 2 79
#> 2420 33 2 79
#> 2421 31 2 80
#> 2422 33 2 80
#> 2423 29 2 80
#> 2424 31 2 80
#> 2425 31 2 80
#> 2426 27 2 81
#> 2427 35 2 81
#> 2428 31 2 81
#> 2429 34 2 81
#> 2430 36 2 81
#> 2431 33 2 82
#> 2432 32 2 82
#> 2433 34 2 82
#> 2434 31 2 82
#> 2435 33 2 82
#> 2436 33 2 83
#> 2437 32 2 83
#> 2438 34 2 83
#> 2439 37 3 83
#> 2440 32 2 83
#> 2441 31 2 84
#> 2442 31 2 84
#> 2443 34 2 84
#> 2444 33 2 84
#> 2445 32 2 84
#> 2446 35 2 85
#> 2447 36 2 85
#> 2448 34 2 85
#> 2449 35 2 85
#> 2450 36 2 85
#> 2451 36 2 86
#> 2452 35 2 86
#> 2453 36 2 86
#> 2454 38 3 86
#> 2455 39 3 86
#> 2456 34 2 87
#> 2457 33 2 87
#> 2458 37 3 87
#> 2459 30 2 87
#> 2460 34 2 87
#> 2461 34 2 88
#> 2462 34 2 88
#> 2463 38 3 88
#> 2464 35 2 88
#> 2465 33 2 88
#> 2466 36 2 89
#> 2467 34 2 89
#> 2468 37 3 89
#> 2469 32 2 89
#> 2470 39 3 89
#> 2471 34 2 90
#> 2472 37 3 90
#> 2473 34 2 90
#> 2474 39 3 90
#> 2475 33 2 90
#> 2476 35 2 91
#> 2477 38 3 91
#> 2478 34 2 91
#> 2479 39 3 91
#> 2480 34 2 91
#> 2481 37 3 92
#> 2482 34 2 92
#> 2483 38 3 92
#> 2484 35 2 92
#> 2485 39 3 92
#> 2486 38 3 93
#> 2487 36 2 93
#> 2488 39 3 93
#> 2489 38 3 93
#> 2490 39 3 93
#> 2491 38 3 94
#> 2492 38 3 94
#> 2493 40 3 94
#> 2494 36 2 94
#> 2495 36 2 94
#> 2496 38 3 95
#> 2497 39 3 95
#> 2498 40 3 95
#> 2499 40 3 95
#> 2500 40 3 95
#> 2501 38 3 96
#> 2502 40 3 96
#> 2503 38 3 96
#> 2504 37 3 96
#> 2505 38 3 96
#> 2506 37 3 97
#> 2507 40 3 97
#> 2508 39 3 97
#> 2509 39 3 97
#> 2510 38 3 97
#> 2511 38 3 98
#> 2512 37 3 98
#> 2513 40 3 98
#> 2514 40 3 98
#> 2515 40 3 98
#> 2516 39 3 99
#> 2517 40 3 99
#> 2518 40 3 99
#> 2519 40 3 99
#> 2520 39 3 99
#> 2521 40 3 100
#> 2522 40 3 100
#> 2523 40 3 100
#> 2524 40 3 100
#> 2525 40 3 100
#>
#> $d.lower
#> [1] 60
#>
#> $d.upper
#> [1] 90
#>
#> $p.lower
#> [1] 0
#>
#> $p.upper
#> [1] 100
#>
#> attr(,"class")
#> [1] "lqasSim"