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posting the question in r-help@ to get more feedback :-) thanks, Yun-Fang ----- Original Message ----- From: "Yun-Fang Juan" <yunfang at yahoo-inc.com> To: <s-news at wubios.wustl.edu> Sent: Tuesday, December 16, 2003 2:04 PM Subject: [S] plot stacked bar chart in R > Hi, > I am trying to plot a stacked bar chart in R but am not able to find the > documentation. > > The input data format is like the fol...

All Is there an R command to produce error bars around a plotted point. Crawley's book uses the command error.bar() but my version of R rejects it. Must be an S+ command(?). Thanks REX [[alternative HTML version deleted]]

...only sent-bytes but no single packet length. > > Ping-Latencies shown below were tested between two Virtual Machines using > netperf (UDP_STREAM, len=1), and then another machine pinged the client: ... > Signed-off-by: Haibin Zhang <haibinzhang at tencent.com> > Signed-off-by: Yunfang Tai <yunfangtai at tencent.com> > Signed-off-by: Lidong Chen <lidongchen at tencent.com> Michael and Jason, please review.

...Latencies shown below were tested between two Virtual Machines using > netperf (UDP_STREAM, len=1), and then another machine pinged the client: ... > Acked-by: Michael S. Tsirkin <mst at redhat.com> > Signed-off-by: Haibin Zhang <haibinzhang at tencent.com> > Signed-off-by: Yunfang Tai <yunfangtai at tencent.com> > Signed-off-by: Lidong Chen <lidongchen at tencent.com> Applied, thank you.

...1/ +2%/ +2% > 2048/ 4/ +1%/ 0% > 2048/ 8/ -2%/ 0% > 4096/ 1/ -2%/ 0% > 4096/ 4/ +2%/ 0% > 4096/ 8/ +9%/ -2% > > Signed-off-by: Haibin Zhang <haibinzhang at tencent.com> > Signed-off-by: Yunfang Tai <yunfangtai at tencent.com> > Signed-off-by: Lidong Chen <lidongchen at tencent.com> > --- > drivers/vhost/net.c | 8 +++++++- > 1 file changed, 7 insertions(+), 1 deletion(-) > > diff --git a/drivers/vhost/net.c b/drivers/vhost/net.c > index 8139bc70ad7d..13a...

...96/ 1/ -2%/ 0% 4096/ 1/ -2%/ 0% > 4096/ 4/ +2%/ 0% 4096/ 4/ 0%/ 0% > 4096/ 8/ +9%/ -2% 4096/ 8/ -5%/ -1% > > Signed-off-by: Haibin Zhang <haibinzhang at tencent.com> > Signed-off-by: Yunfang Tai <yunfangtai at tencent.com> > Signed-off-by: Lidong Chen <lidongchen at tencent.com> Code is fine but I'd like to see validation of the heuristic 2*vq->num with another vq size. > --- > drivers/vhost/net.c | 8 +++++++- > 1 file changed, 7 insertions(+), 1 de...

Hi, I try to use lm to fit a linear model with 600k rows and 70 attributes. But I can't even load the data into the R environment. The error message says the vector memory is used up. Is there anyone having experience with large datasets in R? (I bet) Please advise. thanks, Yun-Fang [[alternative HTML version deleted]]

...>> 2048/ 8/ -2%/ 0% > >> 4096/ 1/ -2%/ 0% > >> 4096/ 4/ +2%/ 0% > >> 4096/ 8/ +9%/ -2% > >> > >> Signed-off-by: Haibin Zhang <haibinzhang at tencent.com> > >> Signed-off-by: Yunfang Tai <yunfangtai at tencent.com> > >> Signed-off-by: Lidong Chen <lidongchen at tencent.com> > >> --- > >> drivers/vhost/net.c | 8 +++++++- > >> 1 file changed, 7 insertions(+), 1 deletion(-) > >> > >> diff --git a/drivers/vhost/ne...

...%/ 0% > > > 4096/ 4/ +2%/ 0% 4096/ 4/ 0%/ 0% > > > 4096/ 8/ +9%/ -2% 4096/ 8/ -5%/ -1% > > > > > > Signed-off-by: Haibin Zhang <haibinzhang at tencent.com> > > > Signed-off-by: Yunfang Tai <yunfangtai at tencent.com> > > > Signed-off-by: Lidong Chen <lidongchen at tencent.com> > > > > Code is fine but I'd like to see validation of the heuristic > > 2*vq->num with another vq size. > > > > > > > > > --- > &...

Hi, I am working on a model sort of like a credit assignment problem. The goal is to get non-negative weights for each input variable and discount the predictors (down to 0) that lead to no credits. I am trying out the lm fitting and find out they give a lot of negative weights. I am totally stuck now. Is there any reasonable fitting function I can use to get non-negative weights? Please

Hi, I have a two-way anova with unequal cell numbers that I want to analyze. The problem is I don't have individual observations of the data. I only have the sufficient statistics (mean, variance, # of observations) for each cell. Is there any existing function in S-plus that would allow me to do aov() with the sufficient statistics? The table is like G1 G2 G3 G5 G6 T1 T2 T3