search for: caluclating

Hi Every one, I have a dataframe "class" with "name", "sex", "age", "height", "Weight". if i caluclate summary statistics with the below code numSummary(class[,c("Height", "Weight")], groups=class$Name, statistics=c("mean", "sd", "quantiles"), quantiles=c(0, .25,.5,.75,1)) iam getting

Hi, is there any package/function that can tell if a numeric vector (continuous data) has a bimodal or trimodal distribution and caluclate the location of the corresponding modes? Thanks

Dear community, I have a little problem filling in a vector with loop output. I think the problem is the following: I am caluclating the index which indicates where the loop output should be placed at by a formula. But when I want to fill in or read out some specific index places this doesn't work properly. Let me show you my code: # CODE ################ ln_0 <- 0 ln_max <- 20 ln_schritt <- 0.1 l_frak_0 <- 25 g...

Dan Nordlund wrote: "It would be necessary to see the code for your 'brief test' before anyone could meaningfully comment on your results. But your results for a single test could have been a valid "random" result." I've re-created what I did below. The problem appears to be with the weighting process: the unweighted sample came out much closer to the actual

Hey .. I''m using ferret to index various objects and i''m create a Ferret::Document for each of these objects. Indexing and searching is working fine. Each of these Ferret::Documents has a ''relevance'' field, storing an integer, how relevant this object is for the search. The ''relevance'' is in the range of 1..10 Now i would like to

I tried to post this question two times, each time it seemed to fail, since " An embedded and charset-unspecified text was scrubbed..." So I try it again: I fitted a mixture density of two gaussians two my data. I now want to caluclate the standard errors of the estimates via the boot.se command of the mixtools package. My question is now, if the output is correct? It seems a bit odd

When I callculate a linear model, then I can compute via confint the confidencial intervals. the interval level can be chosen. as result, I get the parameter of the model according to the interval level. On the other hand, I can compute the prediction-values for my model as well with predict(object, type=c("response") etc.). Here I have also the possibility to chose a level for the

Dear UseRs, I'm running a chi-squared test where the expected matrix is the same as the observed, after rounding. R reports a X-squared of zero with a p value of one. I can justify this because any other result will deviate at least as much from the expected because what we observe is the expected, after rounding. But the formula for X-squared, sum (O-E)^2/E gives a positive value. What

Hi, I''m using SQL Server. I have a BIT field. I have a fix and a question. This is a patch for a bug in the SQL Server adapter that causes any insert or update to fail: lib/active_record/connection_adapters/sqlserver_adapter.rb @@ -239,2 +239,2 @@ - when TrueClass then (column && column.type == :boolean ? "''t''" : "1")

line 212 of postgresql_adapter.rb is return Time.now.to_s if value =~ /^\(''now''::text\)::(date|timestamp)/ i don''t think this will work. in postgresql the field ''now'' is pinned to the SAME TIME for the duration of a transaction. eg. if you do begin transaction; insert into t values(42, ''now''); # sleep one minute