search for: extim

Hi, What is cast telling me when it says the following? Aggregation requires fun.aggregate: length used as default What is 'length'? I've taken a small subset of data and wondered what EnTime vs ExTime might look like. cast is kind enough to give me a table but I don't understand the values in the table. They seem to sum up ro be the same as the total dimension of the data so I'm guessing (but cannot prove) that it's something like whether each experiment has values for both EnTime a...

...nsible and change the first line in the code to point at it. The R code I'm having trouble with is this: Y = read.table("C:\\test.txt") names(Y)[7] = "value" Y ReShape.Y = reshape(Y, varying=list(names(Y)[7]), direction='long') ReShape.Y cast(ReShape.Y, EnTime ~ ExTime) When run the last two steps output the following: > ReShape.Y Trade PosType EnDate EnTime ExDate ExTime time value id 1 1 -1 1080103 800 1080103 1310 1 520 1 2 2 -1 1080104 755 1080104 1310 1 530 2 3 3 1 1080107 945 1080107 1...

Good morning, (sorry for my english) i have some problems to put off by extimation ARIMA coefficients the ones not significatives. Exist a method to extimate only that significatives? i use the command: arima(). thanks to all Stefano [[alternative HTML version deleted]]

I have a data.frame that was built from a number of smaller data.frames with rbind. Each ssmaller data.frame bound together runs over the same date ranges. The format of the whole thing looks like this: Trade PosType EnDate EnTime ExDate ExTime PL_Pos 1 1 1 1040107 915 1040107 1300 164 2 2 1 1040108 909 1040108 1300 184 3 3 1 1040115 921 1040115 1300 64 4 4 1 1040120 1134 1040120 1300 124 5 5 1 1040121 923 1040121 1300 84 6 6...

...maybe as.numeric or something else first to ensure R sees the number the way I'm thinking about the number? Cheers, Mark > dim(X) [1] 25 425 > > ReShapeX <- melt(X, id = c("Trade", "PosType", "EnDate", "EnTime", "ExDate", "ExTime", "PL_Pos", "Costs", "Save2")) > > dim(ReShapeX) [1] 10400 11 > > MyResults <- subset(ReShapeX, value > 0) > > dim(MyResults) [1] 1105 11 > > MyResults.GroupA <- subset(MyResults, PosType = 1) > > dim(MyResults.GroupA)...

...ime() - get(".ptime", pos = "CheckExEnv")), pos = "CheckExEnv") > > base::cat("textplot", base::get(".format_ptime", pos = 'CheckExEnv')(get(".dptime", pos = "CheckExEnv")), "\n", file=base::get(".ExTimings", pos = 'CheckExEnv'), append=TRUE, sep="\t") 8175a8557 Is this expected? It is certainly not the behavior we had for many years, where a check of examples could actually be clean, producing differences only on the 'Time elapsed:' line, which has been presen...

...c.time() - get(".ptime", pos = "CheckExEnv")), pos = "CheckExEnv") > base::cat("read_net", base::get(".format_ptime", pos = 'CheckExEnv')(get(".dptime", pos = "CheckExEnv")), "\n", file=base::get(".ExTimings", pos = 'CheckExEnv'), append=TRUE, sep="\t") > ### * <FOOTER> > ### > cleanEx() > options(digits = 7L) > base::cat("Time elapsed: ", proc.time() - base::g + Error: unexpected end of input Execution halted The code with...

...------------+---------------------------------------------------------------- _nl_1 | -.0036011 .008167 -0.44 0.659 -.0196084 .0124061 ------------------------------------------------------------------------------ in fact i can find the mean of the variables ( step 1) and extimate the model (step 2) but i couldnt find the equivalent of step 3 (compute marginal effect of eco at sample mean). Can someone help me for this issue? Cheers! _________________________________________________________________ [[alternative HTML version deleted]]

...t; "2020-01-06" "2020-01-07" "2020-01-08" "2020-01-09" "2020-01-10" "2020-01-13" "2020-01-14" "2020-01-15" "2020-01-16" [12] "2020-01-17" > > > MyDate2 Trade PosType EnDate EnTime ExDate ExTime 1 1 -1 1040127 919 1040127 932 2 2 1 1040127 1155 1040127 1208 3 3 -1 1040127 1300 1040127 1313 4 4 -1 1040128 958 1040128 1313 5 5 -1 1040129 1024 1040129 1129 6 6 1 1040129 1234 1040129 1313 7 7 1 104020...

...ot;.ptime", pos = > "CheckExEnv")), pos = "CheckExEnv") > > base::cat("read_net", base::get(".format_ptime", pos = > 'CheckExEnv')(get(".dptime", pos = "CheckExEnv")), "\n", > file=base::get(".ExTimings", pos = 'CheckExEnv'), append=TRUE, sep="\t") > > ### * <FOOTER> > > ### > > cleanEx() > > options(digits = 7L) > > base::cat("Time elapsed: ", proc.time() - base::g > + Error: unexpected end of inpu...

...on for 3 modes? 3) What should I do to avoid function failure? I tried by changing the parameters, but it did not work. 4) Can I put constraints to the parameters? In particular, I would like w to be between 0 and 1. 5) Is there a way to get the log-likelihood value, so that I can compare different extimations? 6) Do you have any (possibly a bit "pratically oriented") readings about MLE to suggest? Thanks in advance Nico -- View this message in context: http://www.nabble.com/MLE-for-bimodal-distribution-tp22954970p22954970.html Sent from the R help mailing list archive at Nabble.com.

...-------+---------------------------------------------------------------- _nl_1 | -.0036011 .008167 -0.44 0.659 -.0196084 .0124061 ------------------------------------------------------------------------------ in fact i can find the mean of the variables ( step 1) and extimate the model (step 2) but i couldnt find the equivalent of step 3 (compute marginal effect of eco at sample mean). Can someone help me for this issue? Cheers! Windows 7: Size en uygun bilgisayarı bulun. Daha fazla bilgi edinin. _____________________________________________...

Full_Name: Menelaos Stavrinides Version: 1.3. 1 OS: Windows 98 Submission from: (NULL) (193.129.76.90) When model simplification is used in glm (binomial errors) and anova is used two compare two competitive models one can use either an "F" or a "Chi" test. R always performs an F test (Although when test="Chi" the test is labeled as Chi, there isn't any

...alid for factors. I can certainly find ways to munge the data set, changing EnTime values but that seems like stuff I shouldn'y be doing. that said it's pretty easy to do I suspect. (Modulo 15, etc.) Is there a way to use cast() to grab time increments. Instead of cast(Results, EnTime ~ ExTime, ...) returning by the exact value, can cast collect values together in groups? Any ideas appreciated before I start banging away at doing my less interesting methods. Thanks, Mark

...--- > > > > _nl_1 | -.0036011 .008167 -0.44 0.659 -.0196084 .0124061 > > > > ------------------------------------------------------------------------------ > > > > > > > > in fact i can find the mean of the variables ( step 1) and extimate the model (step 2) but i couldnt find the equivalent of step 3 (compute marginal effect of eco at sample mean). Can someone help me for this issue? > > > > Cheers! > > > > > > > > ______________________________________________ > > R-help@r-project.org m...

...rom, a seq id, et al) and the 2nd would have an index that is the seq id from the 2st table & a blob that contains the audio data. Separating them like that provides for better optimization by the dbm, whether that is mysql, pgsql (my preference), ibmdb2, firebird, oracle or whatever. I'd extimate the code would take just a few hours to write and debug. Surely less than a coder-week. -JimC -- James H. Cloos, Jr. <cloos@jhcloos.com> <http://jhcloos.com> --__--__-- Message: 4 From: "AJ Grinnell" <agrinnell@crt.net> To: <asterisk-users@lists.digium.com>...

...c2ca1ye595821a75b9ddc8@mail.gmail..com> Content-Type: text/plain; charset=UTF-8 Hi,    What is cast telling me when it says the following? Aggregation requires fun.aggregate: length used as default What is 'length'?    I've taken a small subset of data and wondered what EnTime vs ExTime might look like. cast is kind enough to give me a table but I don't understand the values in the table. They seem to sum up ro be the same as the total dimension of the data so I'm guessing (but cannot prove) that it's something like whether each experiment has values for both EnTime a...