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--- readme.aireml [2014/06/06 15:37] – [Options] ignacio
+++ readme.aireml [2014/07/08 19:36] – shogo
@@ Line 80: / Line 80: @@
 Calculate SD for function of (co)variances by repeated sampling of parameters estimates from their asymptotic multivariate normal distribution, following idea presented by Meyer and Houle 2013.
-''label'' given name for a particular function\\
+''<label>'' given name for a particular function\\
-''function'' function of (co)variances to estimate SD, all elements of the function should be written with no spaces.\\
+''<function>'' function of (co)variances to estimate SD, all elements of the function should be written with no spaces.\\
 \\
 Each element of the function corresponds to (co)variances elements and could include any the random effects (G) and residual (R) (co)variances.\\
@@ Line 87: / Line 87: @@
 ''G_eff1_eff2_trt1_trt2'': indicate the element of the (co)variance matrix for random effect ''eff1'' and ''eff2'' and ''trt1'' and ''trt2'', where ''eff1'', ''eff2'' are the effect number, and ''trt1'' and ''trt2'' the trait number\\
 ''R_trt1_trt1'': indicate the element of the residual (co)variance matrix for traits ''trt1'' and ''trt2''
+Several functions could be added, with one OPTION line per function.
 Examples:\\
@@ Line 98: / Line 100: @@
 The first function calculates the SD for the total variance for a maternal model with permanent maternal effect, where 2 and 3 are the effect number for the direct and maternal additive genetic effects respectively, and 4 is the effect number for the maternal permanent random effect.
-The second function calculates the heritability for the direct component and the third the total heritability.
+The second function calculates the heritability for the direct component and the third function the total heritability.
 <file>OPTION samples_se_covar_function <n></file>