multi-level

I am currently using an asp.net menu control to load from a table parent/child items. The problem I am having is that if the child has another child. My code is kindof static in that sense and I can't seem to find a better or "the" way to do it. I have seen sitemap as datasources but i don't need a sitemap and feel that would just be overkill for what I need to achieve. foreach (ClassName option in list) { MenuItem module = new MenuItem(option.Description.ToLower(), "", "", option.Url + "?option=" + option.Optionid); module.Selectable = true; navigation.Items.Add(module); //this is my second

When working on a hierarchical/multilevel/panel dataset, it may be very useful to adopt a package which returns the within- and between-group standard deviations of the available variables. This is something that with the following data in Stata can be easily done through the command xtsum, i(momid) I made a research, but I cannot find any R package which can do that.. edit: Just to fix ideas, an example of hierarchical dataset could be this: son_id mom_id hispanic mom_smoke son_birthweigth 1 1 1 1 3950 2 1 1 0 3890 3 1 1 0 3990 1 2 0 1 4200 2 2 0 1 4120 1 3 0 0 2975 2 3 0 1 2980 The

I have a multi level (3 levels, Root -> Parent -> Child) ExpandableListView containing children that are also ExpandableListViews. I'm having no issue filling them up; however, I need to expand a specific item in the Parent level when I first display the Activity (onCreate). I successfully expand the related Root item of the Parent but I can't seem to expand the Parent item. The given listeners are called and yet the result isn't reflected in my multi level list. Activity in which I call the expansion: public class Activity { private int groupToExpand = 4, childToExpand = 3; protected void

I am trying to implement Collaborative Optimization & other multi-level architectures on OpenMDAO. I read here that this can be done by defining a separate solve_nonlinear method in the Subclass of Problem. The issue is that while running the problem instance the defined solve_linear is not being called. Here is the code - from __future__ import print_function, division import numpy as np import time from openmdao.api import Component,Group, IndepVarComp, ExecComp,\ Problem, ScipyOptimizer, NLGaussSeidel, ScipyGMRES class SellarDis1(Component): """Component containing Discipline 1.""" def _