search for: ingln

..., start = list(T0 = 1000, aN = exp(-2), aL = exp(-2))) Call: Model: Count ~ quad.PBMC.model(aL, aN, T0) | Type/Tissue Data: tissueData Coefficients: T0 aN aL Naive/CLN 1530.0088 0.26508876 0.04730525 Naive/ILN 296.4755 0.09270158 0.09542535 Naive/IngLN 828.1406 0.50799864 0.12500593 Naive/MLN 487.6856 0.16565269 0.10385125 Memory/CLN 3567.2132 0.05656948 0.07753467 Memory/ILN 708.1642 0.01264033 0.10018441 Memory/IngLN 2114.1868 0.05298126 0.12795589 Memory/MLN 1050.0811 0.02277018 0.13560749 Degrees of freedom: 96 total; 72 residua...

...C.model(aL, aN, T0), data = tissueData, start = list(T0 = 1000, aN = exp(-2), aL = exp(-2))) Call: Model: Count ~ quad.PBMC.model(aL, aN, T0) | Type/Tissue Data: tissueData Coefficients: T0 aN aL Naive/CLN 1530.0088 0.26508876 0.04730525 . . . Memory/IngLN 2114.1868 0.05298126 0.12795589 Memory/MLN 1050.0811 0.02277018 0.13560749 Degrees of freedom: 96 total; 72 residual Residual standard error: 271.4194 > --------------------------------------------- I find that T0 varies greatly with each treatment, so I'm going to leave that alone for...