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...