search for: weijia

...hasn't mentioned that yet. I have to get the in/out degree of the vertices of each edge and calculate the Pearson's Correlation coefficient which seems to be quite a huge task for me. :( So I wonder if anyone had done that before and give me some hints on it? Thank you in anticipation! Weijia [[alternative HTML version deleted]]

On Thu, Jan 31, 2013 at 10:29 AM, Weijia Wang <wwang.nyu@gmail.com> wrote: > Hi, > > > > I have a new question about subsetting in R. > > > > Say we have this data frame: > > > > PT_ID Blood_Pressure OBS_TYPE > > 92 1900 90.0 DBP > > 94 1900 90.0 DBP &gt...

Hi, I have encountered an issue about finding a date closest to another date So this is how the data frame looks like: PT_ID IDX_DT OBS_DATE DAYS_DIFF OBS_VALUE CATEGORY 13 4549 2002-08-21 2002-08-20 -1 183 2 14 4549 2002-08-21 2002-11-14 85 91 1 15 4549 2002-08-21 2003-02-18 181 89 1 16 4549 2002-08-21 2003-05-15

...n igraph. The brief introduction to "centralization" can be found here , and I think it's an important index for measuring the centrality on the aggregated level.(http://faculty.ucr.edu/~hanneman/nettext/C10_Centrality.html) Thank you for any comments and suggestions. Best wishes! Weijia [[alternative HTML version deleted]]

Hi, Has anyone been able to figure out how to print all duplicated observations? I have a dataset, with patients ID, and other lab records. Some patients have multiple lab records, but 'duplicated' ID will only show me the duplicates, not the original observation. How can I print both the original one and the duplicates? Thanks

...ile. It's too complicated. :( In the package of "igraph", edgelist is one the format which can be imported, however, weight can not be expressed. As for the format "ncol", weight is considered, but it's always undirected. Thank you for comments and suggestions! Best! Weijia [[alternative HTML version deleted]]

...lt. I'm afraid even I input a random graph without any property of "power-law" characteristics, it will returns an outcome which seems to be a fit to available data while it has no meaning to us. Is there any index like "goodness of fit" ? Thank you for any comments. Best! Weijia [[alternative HTML version deleted]]

...hasn't mentioned that yet. I have to get the in/out degree of the vertices of each edge and calculate the Pearson's Correlation coefficient which seems to be quite a huge task for me. :( So I wonder if anyone had done that before and give me some hints on it? Thank you in anticipation! Weijia [[alternative HTML version deleted]]

Hi all, I have two networks for the same group of the users. I want to compare individual's degree in different networks. But how could I get the degrere of the nodes according to its name? When I use degree(g1), I could only get a vector of the degree of each node. But when I turn to g2, I don't know whose degree it is so I can't match it with the degree(g2). Now I'm trying to

...; to be used with > SED? (seanpor) > 77. as.numeric in data.frame, but only where it is possible (Kinoko) > 78. Re: R and SPSS (Alain Guillet) > 79. Re: Error in sqlCopy in RODBC (Dieter Menne) > 80. Re: Welcome to the "R-help" mailing list (Digest mode) > (Weijia You) > 81. Re: Welcome to the "R-help" mailing list (Digest mode) > ( G?bor Cs?rdi ) > 82. Regression Problem for loop (ales grill) > 83. Re: survreg and pweibull solved for any distribution > (Andrew Beckerman) > 84. what is there in a numeric (0)? (jass@i...

Hi, I have a question regarding Ogg’s multiplexing process. Let’s say we have two logical streams, S1 and S2, which need to be muxed together into one physical stream. On logical stream S1, we have a packet that’s too big and needs to be split into two pages, P1 and P2. On the other hand, logical stream S2 also has a page Px that needs to go out. When these 2 logical streams are muxed together,

Dear collegues, Is there anyone who ever used qqmath(). Actually, I want to know the distribution of the dependent varible. It's a count number, so it should be poisson or negative binomial distribution. But how could I use R to get the ë and á? Or to demonstrate the distribution to be negative binomial ? I tried my best to find the examples by google, but failed. Thank you for the