correlation=FALSE in summary.glm

git-svn-id: https://svn.r-project.org/R/branches/R-0-61-patches@897 00db46b3-68df-0310-9c12-caf00c1e9a41
wch · Mar 13, 1998 · f519dfc · f519dfc
1 parent d630cc7
commit f519dfc
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Showing 3 changed files with 5 additions and 2 deletions.
diff --git a/CHANGES b/CHANGES
@@ -1,6 +1,9 @@
 		CHANGES IN R VERSION 0.61.2
 
 BUG FIXES
+
+    o   Output of correlation matrix in summary.glm() no longer default
+
     o   Docs for predict.lm
 
     o   Subset and transform functions (to make life with dataframes

diff --git a/src/library/base/R/glm b/src/library/base/R/glm
@@ -455,7 +455,7 @@ stat.anova <- function(table, test, scale, df.scale, n)
 
 
 summary.glm <- function(object, dispersion = NULL,
-	correlation = TRUE, na.action=na.omit)
+	correlation = FALSE, na.action=na.omit)
 {
 	est.disp<-FALSE
 	if(is.null(dispersion))	# calculate dispersion if needed

diff --git a/src/library/base/man/glm.Rd b/src/library/base/man/glm.Rd
@@ -7,7 +7,7 @@ glm(formula, family=gaussian, data, weights, subset,
                 trace=F),
         model=T, method=glm.fit, x=F, y=T)
 
-summary(glm.obj, dispersion=NULL, correlation=TRUE,
+summary(glm.obj, dispersion=NULL, correlation=FALSE,
         na.action=na.omit)
 anova(glm.obj, \dots)