search for: _kind_

Displaying 4 results from an estimated 4 matches for "_kind_".

2006 Nov 04
0
[720] trunk/wxruby2/doc/textile/menu.txtl: Update, rubyify and tidy
...quot;cx"> </span><span class="cx"> * _id_ The menu command identifier. </span><span class="cx"> * _item_ The string to appear on the menu item. </span><span class="cx"> * _menu_ Pull-right submenu. </span><del>-* _kind_ May be @ITEM_SEPARATOR@, @ITEM_NORMAL@, -@ITEM_CHECK@ or @ITEM_RADIO@ -* _helpString_ An optional help string associated with the item. -By default, the handler for the EVT_MENU_HIGHLIGHT event displays -this string in the status line. -* _menuItem_ A menuitem object. It will be owned by the Menu...
2019 Apr 26
0
R 3.6.0 is released
...ny entries are *eq*ual. * outer(x,y, FUN = "*") is more efficient using tcrossprod(u,v) instead of u %*% t(v). * vcov(<mlm>) is more efficient via new optional arguments in summary.mlm(). * The default method of summary() gets an option to choose the _kind_ of quantile()s to use; wish of PR#17438. * Fitting multiple linear models _via_ lm() does work with _matrix_ offsets, as suggested in PR#17407. * The new functions mem.maxVSize() and mem.maxMSize() allow the maximal size of the vector heap and the maximal number of nodes...
2019 Apr 26
0
R 3.6.0 is released
...ny entries are *eq*ual. * outer(x,y, FUN = "*") is more efficient using tcrossprod(u,v) instead of u %*% t(v). * vcov(<mlm>) is more efficient via new optional arguments in summary.mlm(). * The default method of summary() gets an option to choose the _kind_ of quantile()s to use; wish of PR#17438. * Fitting multiple linear models _via_ lm() does work with _matrix_ offsets, as suggested in PR#17407. * The new functions mem.maxVSize() and mem.maxMSize() allow the maximal size of the vector heap and the maximal number of nodes...
2019 Apr 26
0
R 3.6.0 is released
...ny entries are *eq*ual. * outer(x,y, FUN = "*") is more efficient using tcrossprod(u,v) instead of u %*% t(v). * vcov(<mlm>) is more efficient via new optional arguments in summary.mlm(). * The default method of summary() gets an option to choose the _kind_ of quantile()s to use; wish of PR#17438. * Fitting multiple linear models _via_ lm() does work with _matrix_ offsets, as suggested in PR#17407. * The new functions mem.maxVSize() and mem.maxMSize() allow the maximal size of the vector heap and the maximal number of nodes...