cbaenzig at mines.edu
2007-Jul-10 01:38 UTC
[Rd] Plot dies with memory not mapped (segfault) (PR#9785)
Full_Name: Clay B
Version: 2.5.0 (2007-04-23)
OS: Solaris Nevada Build 55b
Submission from: (NULL) (65.101.229.198)
I find that running this script causes R to segfault reliably. However, running
just for one system at a time (modifying the for loop updating iter to run just
for a system at a time works). The system is a Sun W2100z with 12 GB of ram, and
R segfaults using only around 360 MB of ram. I can include MySQL output fed to
the script on request, but it's usually for failure data around a max of
1,000
data points in the "failureQuery", and less than 30,000 for
"usageQuery". I can
generate a core if desired too.
------------------------ begin traceback
------------------------------------------
s> source("SysVUserTime.R")
Loading required package: DBI
*** caught segfault ***
address f9, cause 'memory not mapped'
Traceback:
1: axis(side = side, at = at, labels = labels, ...)
2: Axis.default(...)
3: Axis(...)
4: localAxis(x, side = 1, ...)
5: plot.default(g$fit, g$res, xlab = "Fitted", ylab =
"Residuals")
6: plot(g$fit, g$res, xlab = "Fitted", ylab = "Residuals")
7: eval.with.vis(expr, envir, enclos)
8: eval.with.vis(ei, envir)
9: source("SysVUserTime.R")
Possible actions:
1: abort (with core dump, if enabled)
2: normal R exit
3: exit R without saving workspace
4: exit R saving workspace
Selection: 3
------------------------- end traceback
-------------------------------------------
------------------------ begin script
---------------------------------------------
#Connects to database
library(RMySQL)
library(chron)
CLAY_CLASS<-TRUE
PIE_CHARTS<-FALSE
BOXPLOTS<-TRUE
PLOTTING<-TRUE
OUTPUT_TEXT<-FALSE
ACF_PLOT<-TRUE
query_dates<-c("Year","Quarter","Month","Week")
oldpar <- par(no.readonly = TRUE)
drv <- dbDriver("MySQL")
con <- dbConnect(drv,
user="macs370",dbname="lanl",password="macs370")
systems<-c("s8_usage_clean","s15_usage_clean","s16_usage_clean","s23_usage_clean","s20_usage_node_num_cpu")
systemNum<-c("8","15","16","23","20")
# Query for each system
for (iter in 1:length(systems)) {
#for (iter in 5:5) {
rm(dat,res,IQR_Stats,userStatTimes,cors,data)
if(OUTPUT_TEXT!=TRUE)
{
sink(paste("/export/MACS370_project/Image/SysVUserTime/CorrelationsSys",systemNum[iter],".TXT",sep=""))
}
if(PIE_CHARTS==TRUE) {
for (iter in 1:length(systems)) {
X11()
res<- dbSendQuery(con, paste("SELECT
SUM(cpu_seconds_user)/SUM(total_time), SUM(cpu_seconds_system)/SUM(total_time)
FROM ",systems[iter],";",sep=""))
dat<- fetch(res,n=-1)
data<-rbind(dat[,1],dat[,2])
pie(data,labels=c("User","System"),main=paste("System
vs. User Time for System
",systemNum[iter],"by",QUERY_DATE,sep=""))
}
}
# Query for each date segmentation
for(k in 1:length(query_dates)) {
#for(k in 4:4) {
#for(k in 2:2) {
QUERY_DATE<-query_dates[k]
userTime<-NULL
failures<-NULL
# Date Clamp Limits Us To The Middle 80% Of All Data
usageDateClamp<-paste(" WHERE FROM_UNIXTIME(submit_time) >= (SELECT
",
"FROM_UNIXTIME(MIN(submit_time)) + INTERVAL 0.10*",
"DATEDIFF(MAX(FROM_UNIXTIME(submit_time)),MIN(FROM_UNIXTIME(",
"submit_time))) DAY FROM ",systems[iter],") AND
FROM_UNIXTIME(",
"submit_time) <= (SELECT FROM_UNIXTIME(MAX(submit_time))
- ",
"INTERVAL
0.10*DATEDIFF(MAX(FROM_UNIXTIME(submit_time)),MIN(",
"FROM_UNIXTIME(submit_time))) DAY FROM
",systems[iter],") ",
sep="")
failureDateClamp<-paste(" AND prob_start_date >= (SELECT ",
"FROM_UNIXTIME(MIN(submit_time)) + INTERVAL 0.10*",
"DATEDIFF(MAX(FROM_UNIXTIME(submit_time)),MIN(FROM_UNIXTIME(",
"submit_time))) DAY FROM ",systems[iter],")
",
"AND prob_start_date <= (SELECT ",
"FROM_UNIXTIME(MAX(submit_time)) - INTERVAL 0.10*",
"DATEDIFF(MAX(FROM_UNIXTIME(submit_time)),MIN(FROM_UNIXTIME(",
"submit_time))) DAY FROM ",systems[iter],")
",sep="")
if(QUERY_DATE=="Year") {
usageAVGQuery<-paste("SELECT
STR_TO_DATE(CONCAT(YEAR(FROM_UNIXTIME(dispatch_time)),'-01-01'),'%Y-%m-%d')
AS
date, AVG(cpu_seconds_user/total_time) AS time, AVG(num_cpus) AS AVG_CPUs,
AVG(dispatch_time-end_time) AS AVG_job_length FROM
",systems[iter],usageDateClamp,"GROUP BY date;",sep="")
usageQuery<-paste("SELECT
STR_TO_DATE(CONCAT(YEAR(FROM_UNIXTIME(dispatch_time)),'-01-01'),'%Y-%m-%d')
AS
date, cpu_seconds_user/total_time AS time FROM ",systems[iter],"
",usageDateClamp,";",sep="")
if(CLAY_CLASS=="TRUE") {
failureQuery<-paste("SELECT
DISTINCT(STR_TO_DATE(CONCAT(YEAR(FROM_UNIXTIME(dispatch_time)),'-01-01'),'%Y-%m-%d'))
AS date, if(tbl.probs is NULL,0,tbl.probs) FROM ",systems[iter]," LEFT
JOIN
(SELECT SUM(if(clay_class='Interconnect' OR clay_class='Disk' OR
clay_class='Memory' OR clay_class='Networking, Machine Access'
OR
clay_class='Shared Storage',1,0)) AS probs,
STR_TO_DATE(CONCAT(YEAR(prob_start_date),'-01-01'),'%Y-%m-%d')
as date FROM
failure_data WHERE system=",systemNum[iter],failureDateClamp," GROUP
BY date) as
tbl ON
tbl.date=STR_TO_DATE(CONCAT(YEAR(FROM_UNIXTIME(dispatch_time)),'-01-01'),'%Y-%m-%d');",sep="")
} else {
failureQuery<-paste("SELECT
DISTINCT(STR_TO_DATE(CONCAT(YEAR(FROM_UNIXTIME(dispatch_time)),'-01-01'),'%Y-%m-%d'))
AS date, if(tbl.probs is NULL,0,tbl.probs) FROM ",systems[iter]," LEFT
JOIN
(SELECT SUM(if(hw_desc!='',1,0)) AS probs,
STR_TO_DATE(CONCAT(YEAR(prob_start_date),'-01-01'),'%Y-%m-%d')
as date FROM
failure_data WHERE system=",systemNum[iter],failureDateClamp," GROUP
BY date) as
tbl ON
tbl.date=STR_TO_DATE(CONCAT(YEAR(FROM_UNIXTIME(dispatch_time)),'-01-01'),'%Y-%m-%d');",sep="")
}
} else if(QUERY_DATE=="Quarter") {
usageAVGQuery<-paste("SELECT
STR_TO_DATE(CONCAT(YEAR(FROM_UNIXTIME(dispatch_time)),'-',QUARTER(FROM_UNIXTIME(dispatch_time))*3,'-01'),'%Y-%m-%d')
AS date, AVG(cpu_seconds_user/total_time) AS time, AVG(num_cpus) AS AVG_CPUs,
AVG(dispatch_time-end_time) AS AVG_job_length FROM
",systems[iter],usageDateClamp,"GROUP BY date;",sep="")
usageQuery<-paste("SELECT
STR_TO_DATE(CONCAT(YEAR(FROM_UNIXTIME(dispatch_time)),'-',QUARTER(FROM_UNIXTIME(dispatch_time))*3,'-01'),'%Y-%m-%d')
AS date, cpu_seconds_user/total_time AS time FROM
",systems[iter],usageDateClamp,";",sep="")
# failureQuery<-paste("SELECT
DISTINCT(STR_TO_DATE(CONCAT(YEAR(FROM_UNIXTIME(dispatch_time)),'-',QUARTER(FROM_UNIXTIME(dispatch_time))*3,'-01'),'%Y-%m-%d'))
AS date, if(tbl.probs is NULL,0,tbl.probs) FROM ",systems[iter]," LEFT
JOIN
(SELECT SUM(if(clay_class='Interconnect' OR clay_class='Disk' OR
clay_class='Memory' OR clay_class='Networking, Machine Access'
OR
clay_class='Shared Storage',1,0)) AS probs,
STR_TO_DATE(CONCAT(YEAR(prob_start_date),'-',QUARTER(prob_start_date)*3,'-01'),'%Y-%m-%d')
as date FROM failure_data WHERE
system=",systemNum[iter],failureDateClamp,"
GROUP BY date) as tbl ON
tbl.date=STR_TO_DATE(CONCAT(YEAR(FROM_UNIXTIME(dispatch_time)),'-',QUARTER(FROM_UNIXTIME(dispatch_time))*3,'-01'),'%Y-%m-%d');",sep="")
failureQuery<-paste("SELECT
DISTINCT(STR_TO_DATE(CONCAT(YEAR(FROM_UNIXTIME(dispatch_time)),'-',QUARTER(FROM_UNIXTIME(dispatch_time))*3,'-01'),'%Y-%m-%d'))
AS date, if(tbl.probs is NULL,0,tbl.probs) FROM ",systems[iter]," LEFT
JOIN
(SELECT SUM(if(hw_desc!='',1,0)) AS probs,
STR_TO_DATE(CONCAT(YEAR(prob_start_date),'-',QUARTER(prob_start_date)*3,'-01'),'%Y-%m-%d')
as date FROM failure_data WHERE
system=",systemNum[iter],failureDateClamp,"
GROUP BY date) as tbl ON
tbl.date=STR_TO_DATE(CONCAT(YEAR(FROM_UNIXTIME(dispatch_time)),'-',QUARTER(FROM_UNIXTIME(dispatch_time))*3,'-01'),'%Y-%m-%d');",sep="")
} else if(QUERY_DATE=="Month") {
usageAVGQuery<-paste("SELECT
STR_TO_DATE(CONCAT(YEAR(FROM_UNIXTIME(dispatch_time)),'-',MONTH(FROM_UNIXTIME(dispatch_time)),'-01'),'%Y-%m-%d')
AS date, AVG(cpu_seconds_user/total_time) AS time, AVG(num_cpus) AS AVG_CPUs,
AVG(dispatch_time-end_time) AS AVG_job_length FROM
",systems[iter],usageDateClamp," GROUP BY
date;",sep="")
usageQuery<-paste("SELECT
STR_TO_DATE(CONCAT(YEAR(FROM_UNIXTIME(dispatch_time)),'-',MONTH(FROM_UNIXTIME(dispatch_time)),'-01'),'%Y-%m-%d')
AS date, cpu_seconds_user/total_time AS time FROM
",systems[iter],usageDateClamp,";",sep="")
if(CLAY_CLASS=="TRUE") {
failureQuery<-paste("SELECT
DISTINCT(STR_TO_DATE(CONCAT(YEAR(FROM_UNIXTIME(dispatch_time)),'-',MONTH(FROM_UNIXTIME(dispatch_time)),'-01'),'%Y-%m-%d'))
AS date, if(tbl.probs is NULL,0,tbl.probs) FROM ",systems[iter]," LEFT
JOIN
(SELECT SUM(if(clay_class='Interconnect' OR clay_class='Disk' OR
clay_class='Memory' OR clay_class='Networking, Machine Access'
OR
clay_class='Shared Storage',1,0)) AS probs,
STR_TO_DATE(CONCAT(YEAR(prob_start_date),'-',MONTH(prob_start_date),'-01'),'%Y-%m-%d')
as date FROM failure_data WHERE
system=",systemNum[iter],failureDateClamp,"
GROUP BY date) as tbl ON
tbl.date=STR_TO_DATE(CONCAT(YEAR(FROM_UNIXTIME(dispatch_time)),'-',MONTH(FROM_UNIXTIME(dispatch_time)),'-01'),'%Y-%m-%d');",sep="")
} else {
failureQuery<-paste("SELECT
DISTINCT(STR_TO_DATE(CONCAT(YEAR(FROM_UNIXTIME(dispatch_time)),'-',MONTH(FROM_UNIXTIME(dispatch_time)),'-01'),'%Y-%m-%d'))
AS date, if(tbl.probs is NULL,0,tbl.probs) FROM ",systems[iter]," LEFT
JOIN
(SELECT SUM(if(hw_desc!='',1,0)) AS probs,
STR_TO_DATE(CONCAT(YEAR(prob_start_date),'-',MONTH(prob_start_date),'-01'),'%Y-%m-%d')
as date FROM failure_data WHERE
system=",systemNum[iter],failureDateClamp,"
GROUP BY date) as tbl ON
tbl.date=STR_TO_DATE(CONCAT(YEAR(FROM_UNIXTIME(dispatch_time)),'-',MONTH(FROM_UNIXTIME(dispatch_time)),'-01'),'%Y-%m-%d');",sep="")
}
} else if(QUERY_DATE=="Week") {
usageAVGQuery<-paste("SELECT
STR_TO_DATE(CONCAT(YEARWEEK(FROM_UNIXTIME(dispatch_time)),' Monday'),
'%X%V %W')
AS date, AVG(cpu_seconds_user/total_time) AS time, AVG(num_cpus) AS AVG_CPUs,
AVG(dispatch_time-end_time) AS AVG_job_length FROM
",systems[iter],usageDateClamp," GROUP BY
date;",sep="")
usageQuery<-paste("SELECT
STR_TO_DATE(CONCAT(YEARWEEK(FROM_UNIXTIME(dispatch_time)),' Monday'),
'%X%V %W')
AS date, cpu_seconds_user/total_time AS time FROM
",systems[iter],usageDateClamp,";",sep="")
# failureQuery<- paste("SELECT
STR_TO_DATE(CONCAT(YEARWEEK(prob_start_date), ' Monday'),'%X%V
%W') as date,
count(*)/(SELECT count(*) FROM failure_data WHERE
system=",systemNum[iter],failureDateClamp,") AS probs FROM
failure_data WHERE
system=",systemNum[iter]," AND hw_desc!='' GROUP BY
date;",sep="")
if(CLAY_CLASS=="TRUE") {
failureQuery<-paste("SELECT
DISTINCT(STR_TO_DATE(CONCAT(YEARWEEK(FROM_UNIXTIME(dispatch_time)),'
Monday'),'%X%V %W')) AS date, if(tbl.probs is NULL,0,tbl.probs) FROM
",systems[iter]," LEFT JOIN (SELECT
SUM(if(clay_class='Interconnect' OR
clay_class='Disk' OR clay_class='Memory' OR
clay_class='Networking, Machine
Access' OR clay_class='Shared Storage',1,0)) AS probs,
STR_TO_DATE(CONCAT(YEARWEEK(prob_start_date),' Monday'),'%X%V
%W') as date FROM
failure_data WHERE system=",systemNum[iter],failureDateClamp," AND
end_time>=(SELECT MIN(dispatch_time) FROM ",systems[iter],") AND
start_time<=(SELECT MAX(dispatch_time) FROM ",systems[iter],")
GROUP BY date) as
tbl ON tbl.date=STR_TO_DATE(CONCAT(YEARWEEK(FROM_UNIXTIME(dispatch_time)),'
Monday'),'%X%V %W');",sep="")
} else {
failureQuery<-paste("SELECT
DISTINCT(STR_TO_DATE(CONCAT(YEARWEEK(FROM_UNIXTIME(dispatch_time)),'
Monday'),'%X%V %W')) AS date, if(tbl.probs is NULL,0,tbl.probs) FROM
",systems[iter]," LEFT JOIN (SELECT SUM(if(hw_desc!='',1,0))
AS probs,
STR_TO_DATE(CONCAT(YEARWEEK(prob_start_date),' Monday'),'%X%V
%W') as date FROM
failure_data WHERE system=",systemNum[iter],failureDateClamp," AND
end_time>=(SELECT MIN(dispatch_time) FROM ",systems[iter],") AND
start_time<=(SELECT MAX(dispatch_time) FROM ",systems[iter],")
GROUP BY date) as
tbl ON tbl.date=STR_TO_DATE(CONCAT(YEARWEEK(FROM_UNIXTIME(dispatch_time)),'
Monday'),'%X%V %W');",sep="")
}
}
print(paste("Querying for system",systems[iter]))
print(paste("Usage Query:",usageQuery,sep=""))
res<- dbSendQuery(con, usageQuery)
dat<- fetch(res,n=-1)
userTime<-cbind(as.Date(dat[,1]),dat[,2])
print(paste("Usage AVG
Query:",usageAVGQuery,sep=""))
res<- dbSendQuery(con, usageAVGQuery)
userAVGs<- fetch(res,n=-1)
print(paste("Failure Query:",failureQuery,sep=""))
res<- dbSendQuery(con, failureQuery)
dat<- fetch(res,n=-1)
failures<-cbind(as.Date(dat[,1]),dat[,2])
#Scale Failures To Have a Range Of 0-1
failures[,2]<-failures[,2]/range(failures[,2][!is.na(failures[,2])])[2]
IQR_stats<-boxplot(split(userTime[,2],userTime[,1]),plot=FALSE)
userStatTimes<-rbind(IQR_stats$names,IQR_stats$stats)
png(paste("/export/MACS370_project/Image/SysVUserTime/user_time_box",systems[iter],"by",QUERY_DATE,".png",sep=""),height=1000,width=1000)
if(BOXPLOTS==TRUE && PLOTTING==TRUE)
{
par(bg="cornsilk",new=T)
print("Boxplot...")
boxplot(split(userTime[,2],as.Date(dates(userTime[,1]))),style="tukey",main=paste("Plot
of userTime as a percentage of
totalTime\nSystem",systemNum[iter],sep=""),xlim=as.Date(dates(range(userTime[,1]))),ylim=c(0,1),lwd=.5,plot=TRUE)
points(failures[,2],type="p",col=4,cex=10,pch=4,ylim=c(0,1))
dev.off()
par(oldpar)
# No Boxplots
} else if (PLOTTING==TRUE) {
par(bg="cornsilk",new=T)
print("Plotting...")
plot(as.Date(dates(failures[,1])),failures[,2],main=paste("Plot
of userTime as a percentage of
totalTime\nSystem",systemNum[iter],sep=""),xlim=as.Date(dates(range(userTime[,1]))),ylim=c(0,1),lwd=.5,type="p",col=4,cex=3,pch=4)
points(failures,col=4,cex=3,pch=4,ylim=c(0,1))
print("Getting IQR...")
lines(userStatTimes[1,],userStatTimes[2,],xlim=as.Date(dates(range(userTime[,1]))),lwd=1)
lines(userStatTimes[1,],userStatTimes[3,],xlim=as.Date(dates(range(userTime[,1]))),lwd=1)
lines(userStatTimes[1,],userStatTimes[4,],xlim=as.Date(dates(range(userTime[,1]))),lwd=1)
lines(userStatTimes[1,],userStatTimes[5,],xlim=as.Date(dates(range(userTime[,1]))),lwd=1)
lines(userStatTimes[1,],userStatTimes[6,],xlim=as.Date(dates(range(userTime[,1]))),lwd=1)
abline(h=mean(as.numeric(userStatTimes[2,])),lwd=1,lty=4)
abline(h=mean(as.numeric(userStatTimes[3,])),lwd=1,lty=4)
abline(h=mean(as.numeric(userStatTimes[4,])),lwd=1,lty=4)
abline(h=mean(as.numeric(userStatTimes[5,])),lwd=1,lty=4)
abline(h=mean(as.numeric(userStatTimes[6,])),lwd=1,lty=4)
dev.off()
par(oldpar)
}
print(paste("----- Correlation by:",QUERY_DATE,"For
system",systems[iter],"-----"))
png(paste("/export/MACS370_project/Image/SysVUserTime/user_time_diff_",systems[iter],"by",QUERY_DATE,".png",sep=""),height=1000,width=1000)
# Small Regression V. Diff(UserTime)
cors<-cbind(c(diff(userAVGs[,2]),NA),dat[,2])
cors<-cbind(cors[,1][!is.na(cors[,1])],cors[,2][!is.na(cors[,1])])
cors<-cbind(cors[,1][!is.na(cors[,2])],cors[,2][!is.na(cors[,2])])
colnames(cors)<-c("UserTime AVG
Diffs","Failures")
print(cor(cors))
print(paste("Num. Obs.:",length(cors[,1])))
# Test to cut out s15 yearly avg diffs. (only one data point)
if(dim(cors)[1]>2) {
# From the R Graph Gallery:
# http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=137
panel.cor <- function(x, y, digits=2, prefix="", cex.cor)
{
usr <- par("usr"); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
r <- abs(cor(x, y))
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep="")
if(missing(cex.cor)) cex <- 0.8/strwidth(txt)
test <- cor.test(x,y)
# borrowed from printCoefmat
Signif <- symnum(test$p.value, corr = FALSE, na = FALSE,
cutpoints = c(0, 0.001, 0.01, 0.05, 0.1, 1),
symbols = c("***", "**",
"*", ".", " "))
text(0.5, 0.5, txt, cex = cex * r)
text(.8, .8, Signif, cex=cex, col=2)
}
pairs(cors, lower.panel=panel.smooth,
upper.panel=panel.cor,main=paste("System",systems[iter],"by",QUERY_DATE))
dev.off()
png(paste("/export/MACS370_project/Image/SysVUserTime/user_time_",systems[iter],"by",QUERY_DATE,".png",sep=""),height=1000,width=1000)
# Big Correlation V. UserTime, NumCPU, Job Len.
cors<-cbind(userAVGs[,2],userAVGs[,3],userAVGs[,4],dat[,2])
cors<-cbind(cors[,1][!is.na(cors[,1])],cors[,2][!is.na(cors[,1])],cors[,3][!is.na(cors[,1])],cors[,4][!is.na(cors[,1])])
cors<-cbind(cors[,1][!is.na(cors[,4])],cors[,2][!is.na(cors[,4])],cors[,3][!is.na(cors[,4])],cors[,4][!is.na(cors[,4])])
colnames(cors)<-c("UserTime AVGs","Num CPU
AVGs","Job Len.
AVGs","Failures")
print(cor(cors))
print(paste("Num. Obs.:",length(cors[,1])))
# From the R Graph Gallery:
# http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=137
panel.cor <- function(x, y, digits=2, prefix="", cex.cor)
{
usr <- par("usr"); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
r <- abs(cor(x, y))
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep="")
if(missing(cex.cor)) cex <- 0.8/strwidth(txt)
test <- cor.test(x,y)
# borrowed from printCoefmat
Signif <- symnum(test$p.value, corr = FALSE, na = FALSE,
cutpoints = c(0, 0.001, 0.01, 0.05, 0.1, 1),
symbols = c("***", "**",
"*", ".", " "))
text(0.5, 0.5, txt, cex = cex * r)
text(.8, .8, Signif, cex=cex, col=2)
}
pairs(cors, lower.panel=panel.smooth,
upper.panel=panel.cor,main=paste("System",systems[iter],"by",QUERY_DATE))
}
dev.off()
if(ACF_PLOT==TRUE) {
print("ACF plots")
x11()
cors<-cbind(userAVGs[,3],dat[,2])
cors<-cbind(cors[,1][!is.na(cors[,1])],cors[,2][!is.na(cors[,1])])
cors<-cbind(cors[,1][!is.na(cors[,2])],cors[,2][!is.na(cors[,2])])
colnames(cors)<-c("UserTime
AVG","Failures")
acf(cors,main=paste("ACF for
system",systemNum[iter]),ci.type="ma",ci=.05)
dev.copy(png,file=(paste("/export/MACS370_project/Image/SysVUserTime/ACF_",systems[iter],".png")))
dev.off()
}
g <- lm(cors[,2] ~ cors[,1])
plot(g$fit,g$res,xlab="Fitted",ylab="Residuals")
abline(h=0)
plot(g$fit,abs(g$res),xlab="Fitted",ylab="|Residuals|")
summary(lm(abs(g$res)~g$fit))
}
if(OUTPUT_TEXT!=TRUE)
{ sink() }
}
dbDisconnect(con)
------------------------- end script
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Wisdom of the Ancients
