TRIM 3.61 : TRend analysis and Indices for Monitoring data STATISTICS NETHERLANDS Date/Time: 25-8-2016 17:58:48 Title : skylark-2a The following 5 variables have been read from file: Z:\Users\patrick\Work\CBS\TRIM\wine\skylark.dat 1. Site number of values: 55 2. Time number of values: 8 3. Count missing = 999 4. HABITAT number of values: 2 5. COV2 number of values: 4 Number of sites without positive counts (removed) 0 Number of observed zero counts 0 Number of observed positive counts 202 Total number of observed counts 202 Number of missing counts 238 Total number of counts 440 Total count 2536.0 Sites containing more than 10% of the total count Site Number Observed Total % 3 431.0 17.0 37 266.0 10.5 40 624.0 24.6 Time Point Averages TimePoint Observations Average Index 1 25 8.52 1.00 2 20 8.10 0.95 3 30 10.90 1.28 4 30 11.27 1.32 5 28 12.75 1.50 6 29 14.66 1.72 7 22 17.00 2.00 8 18 18.89 2.22 RESULTS FOR MODEL: Linear Trend -------------------------------- Effects of covariate(s) HABITAT Changes in Slope at Timepoints 1 2 3 4 5 6 7 ESTIMATION METHOD = Generalised Estimating Equations Total time used: 4.03 seconds Estimated Overdispersion = 1.162 Estimated Serial Correlation = 0.227 GOODNESS OF FIT Chi-square 154.50, df 133, p 0.0979 Likelihood Ratio 159.64, df 133, p 0.0575 AIC (up to a constant) -106.36 WALD-TEST FOR SIGNIFICANCE OF COVARIATES Covariate Wald-Test df p HABITAT 21.55 7 0.0030 WALD-TEST FOR SIGNIFICANCE OF CHANGES IN SLOPE Changepoint Wald-Test df p 1 10.27 2 0.0059 2 9.18 2 0.0102 3 3.08 2 0.2143 4 1.54 2 0.4637 5 1.64 2 0.4413 6 0.89 2 0.6419 7 0.01 2 0.9927 PARAMETER ESTIMATES Effects of Covariates on Slope for Time Intervals from upto 1 2 Additive std.err. Multiplicative std.err. Constant -0.2165 0.1991 0.8053 0.1604 Covariate 1 ------------ Category 2 -0.1445 0.2324 0.8655 0.2011 from upto 2 3 Additive std.err. Multiplicative std.err. Constant -0.1616 0.2207 0.8508 0.1878 Covariate 1 ------------ Category 2 0.4216 0.2480 1.5244 0.3781 from upto 3 4 Additive std.err. Multiplicative std.err. Constant -0.1201 0.2195 0.8869 0.1946 Covariate 1 ------------ Category 2 0.1094 0.2336 1.1156 0.2606 from upto 4 5 Additive std.err. Multiplicative std.err. Constant -0.2410 0.2260 0.7859 0.1776 Covariate 1 ------------ Category 2 0.3882 0.2389 1.4744 0.3522 from upto 5 6 Additive std.err. Multiplicative std.err. Constant 0.2179 0.2249 1.2434 0.2797 Covariate 1 ------------ Category 2 -0.1298 0.2366 0.8783 0.2078 from upto 6 7 Additive std.err. Multiplicative std.err. Constant -0.1153 0.2180 0.8911 0.1943 Covariate 1 ------------ Category 2 0.2139 0.2301 1.2385 0.2850 from upto 7 8 Additive std.err. Multiplicative std.err. Constant -0.0849 0.2330 0.9186 0.2140 Covariate 1 ------------ Category 2 0.1720 0.2459 1.1876 0.2920 Time INDICES Time Model std.err. Imputed std.err. 1 1 1 2 0.7281 0.0751 0.7234 0.0751 3 0.8411 0.0846 0.8422 0.0848 4 0.8119 0.0835 0.8145 0.0838 5 0.8757 0.0886 0.8765 0.0888 6 0.9771 0.0987 0.9792 0.0990 7 1.0420 0.1068 1.0433 0.1071 8 1.1106 0.1155 1.1219 0.1164 TIME TOTALS Time Model std.err. Imputed std.err. 1 526 44 526 44 2 383 36 380 36 3 443 30 443 30 4 427 28 428 28 5 461 29 461 29 6 514 29 515 29 7 548 34 548 34 8 585 38 590 38 OVERALL SLOPE MODEL: Moderate increase (p<0.01) ** Additive std.err. Multiplicative std.err. 0.0363 0.0134 1.0370 0.0139 OVERALL SLOPE IMPUTED+(recommended): Moderate increase (p<0.01) ** Additive std.err. Multiplicative std.err. 0.0376 0.0134 1.0384 0.0140