search for: proprotion

Hello! Very sorry for a probably very simple question - I looked but did not find an answer in the archives. I have a table "counts" (below) that shows counts by Option within each of my 2 groups. However, my groups have different sizes (N1=255 and N2=68). Table "prop" shows the resulting proportions within each group. I would like to compare the proportions in 2 groups using

According to Dr. Breiman, the RF should be more accurate method than a single tree. However, the performance of each method seems to depend on the proprotion of outcome variable in my case. My data set is a typical classification problem (predict bad guys). When I ran both of them with different proportion of outcome variables(there's a criterion to measure the degree of bad behavior), I got very strange results. 1. proportion of 1 to 0 = 1:4 e...

Hi, we use a tinc network of about 400 nodes, all of them linux servers, partly in different datacenters (but generally low latency). Usually this is working very well (for weeks without a problem). >From time to time the whole network goes down though. This happened when we restarted a larger number of servers or when there was a connectivity issue between datacenters or some (short)

...und a question exactly as mine, but I did not found an answer. Therefore?I post this again - hopefully there will be an answer! Thanks in advance! karl From: Berta <ibanez> Date: Tue, 27 Feb 2007 18:58:48 +0100 Hi R-users, I want to calculate the sample size needed to carry out a 2-sample proprotion test. I have the hypotesized treatment probability of success (0.80), the hypotesized control probability of success (0.05), and also de proportion of the sample devoted to treated group (5%), (fraction=rho=0.05, n2/n1=19). Using the Hsmisc library, it seemss that I can use bsamsize (option 1)...

...nodes to be less reachable than without that option. > We are also going to increase PingTimeout to 30 and reduce the number of > ConnectTo hosts to 2. Increasing PingTimeout will probably help. As for the ConnectTo hosts: reducing the number will also reduce the amount of metadata traffic proprotionally. However, in your case, with 400 nodes connection to the same 3 central nodes, you might have to look at the amount of metadata that each node handles. It would be better to have more central nodes, and have leaf nodes only connect to a few of them. > Is there anything else we can do to lim...

Hi, I tried this one over on the main wx-users list as well, but thought I would try it here since I am using wxRuby: I am using wxWidgets 2.8.7 on a linux box using the GTK build. I have pared down my issue to the simplest case: I am trying to use a horizontal BoxSizer to split a frame into two sections: a left and right side. I want the left side to stretch proportionally and I want the

...without that option. > > > We are also going to increase PingTimeout to 30 and reduce the number of > > ConnectTo hosts to 2. > > Increasing PingTimeout will probably help. As for the ConnectTo hosts: > reducing the number will also reduce the amount of metadata traffic > proprotionally. However, in your case, with 400 nodes connection to the > same 3 central nodes, you might have to look at the amount of metadata > that each node handles. It would be better to have more central nodes, > and have leaf nodes only connect to a few of them. > > > Is there anythi...

...riable, It is easy to understand the procedures how "log odds" are calculated. As I know, First the observations are grouped according to the IV and DV, generating a contingency table.The columns are the levels of IV, and the rows are the levels of DV(0, or 1).For each column,we get the proprotions for DV=0 and DV=1 at given IV. Using the proportions the log odds can be computed.Is that right? My problem is this : in my data set , the IVs are continuous variables, do I still have to generate such a table and compute the log odds for each level of IV according to which the log odds are...

Hello, I've had no luck finding an R package that has the ability to estimate a Tobit model allowing for heteroskedasticity (multiplicative, for example). Am I missing something in survReg? Is there another package that I'm unaware of? Is there an add-on package that will test for heteroskedasticity? Thanks for your help. Cheers, Alan Spearot -- Alan Spearot Department of Economics