search for: aggregate

The documentation for `aggregate` makes it sound like aggregate.formula should behave identically to aggregate.data.frame (apart from the way the parameters are passed). But it looks like aggregate.formula is quietly removing rows where any of the "output" variables (those on the LHS of the formula) are NA. This differ...

Can someone please tell me what is up with na.action in aggregate? My (somewhat) reproducible example: (I say somewhat because some lines wouldn't run in a separate session, more below) set.seed(100) dat=data.frame( x1=sample(c(NA,'m','f'), 100, replace=TRUE), x2=sample(c(NA, 1:10), 100, replace=TRUE), x3=sample(c(NA,...

Hi All, I am currently doing the following to compute summary statistics of aggregated data: a = aggregate(warpbreaks$breaks, warpbreaks[,-1], mean) b = aggregate(warpbreaks$breaks, warpbreaks[,-1], sum) c = aggregate(warpbreaks$breaks, warpbreaks[,-1], length) ans = cbind(a, b[,3], c[,3]) This seems unnecessarily complex to me so I tried > aggregate(warpbreaks$breaks, warpbrea...

...ere more to do > than what is proposed in http://reviews.llvm.org/D9766 ? > > So basically the proposal is that *InstCombine* I think that fixing this early in the optimizer makes sense (InstCombine, etc.). This seems little different from any other canonicalization problem. These direct aggregate IR values are valid IR, but not our preferred canonical form, so we should transform the IR, when possible, into our preferred canonical form. -Hal > turns aggregate > load/store into a load/store using an integer of equivalent size and > insert the correct bitcast before/after, right?...

What are the functions available for use with “aggregate”? Where can a reference to them be found? --------------------------------- [[alternative HTML version deleted]]

Hi, I find it a bit annoying that aggregate.default forces the returned object to loose the 'name' of the variable aggregated, replacing it with 'x'. A brief example: > dat <- data.frame(A = runif(100), B = rnorm(100), + Group = gl(4, 25)) > with(dat, aggregate(A, by = list(Group = Group), FUN =...

This may not be possible... I have an aggregation of clwholename defined in my model. the aggregation builds clwholename from :first_name, middle_initial, last_name and it generally works fine. I am trying to add a validation so while there may be many ''John'' first_names, and ''Doe'' last_names, I only want one ''John Doe'' so I tried...

...> > Cc: "Mehdi Amini" <mehdi.amini at apple.com>, "llvm-dev" <llvm-dev at lists.llvm.org> > Sent: Thursday, August 20, 2015 4:09:17 PM > Subject: Re: [llvm-dev] [RFC] Aggreate load/store, proposed plan > > Problem : > > Many languages define aggregates and some way to manipulate them. > LLVM define aggregates types (arrays and structs) to handle them. > However, when aggregate are loaded or stored, LLVM will simply > ignore these up to the legalization in the backend. This lead to > many misoptimizations. Most frontend are using a se...

...t the optimizer gets confused when > the struct has some. That's a bummer but that is already improving > things, so I'd rather have that than nothing. > > Alternatively, I think I have, in theory only so far, that may be > better. The idea is to create an alloca, memcpy the aggregate in it, > and transform extract values into loads, and insertvalues into an > optional memecy into a new alloca (if the old value is still alive > after the insertvalue) + a store. There is some extra trickery one > need to do for call arguments, ret and phi nodes, but overall, I > th...

It is pretty clear people need this. Let's get this moving. I'll try to sum up the point that have been made and I'll try to address them carefully. 1/ There is no good solution for large aggregates. That is true. However, I don't think this is a reason to not address smaller aggregates, as they appear to be needed. Realistically, the proportion of aggregates that are very large is small, and there is no expectation that such a thing would map nicely to the hardware anyway (the hardware w...

Hi R users, I am trying to use the aggregate function with a survey design object and survey functions, but get the following error. I think I am incorrectly using the syntax somehow, and it may not be possible to access variables directly by name in a survey-design object. Am I right? How do I fix this problem? I have used aggregate with...

I am currently summarising a data set by collapsing data based on common identifiers in a column. I am using the 'aggregate' function to summarise numeric columns, i.e. "aggregate(dat[,3], list(dat$gene), mean)". I also wish to summarise text columns e.g. by concatenating values in a comma separated list, but the aggregate function can only return scalar values and so something like "aggregate(dat[,3...

>aggregate(z, identity, mean) 1 2 3 4 5 1.0 3.0 5.0 6.0 7.5 > aggregate(z, mean) Error: length(time(x)) == length(by[[1]]) is not TRUE Can someone help me understand the error above and why "identity" is necessary to satisfy the error -- View this message in context: http://r.789...

Hi, I am using aggregate() to add up groups of data according to year and month. It seems that the function aggregate() automatically sorts the levels of factors of the grouping elements, even if the order of the levels of factors is supplied. I am wondering if this is a bug, or if I missed something important. Below is an...

...ng told! Thank you, John values <- c((0:99),c(0.9:99.9)) sort(values) c1<-cut(values,10,include.lowest=FALSE,right=TRUE) c2<-cut(values,10,include.lowest=FALSE,right=FALSE) c3<-cut(values,10,include.lowest=TRUE,right=TRUE) c4<-cut(values,10,include.lowest=TRUE,right=FALSE) cbind(min=aggregate(values,list(c1),min),max=aggregate(values,list(c1),max)) cbind(min=aggregate(values,list(c2),min),max=aggregate(values,list(c2),max)) cbind(min=aggregate(values,list(c3),min),max=aggregate(values,list(c3),max)) cbind(min=aggregate(values,list(c4),min),max=aggregate(values,list(c4),max)) You can ru...

...; and "char*" is not allowed. "test-http-auth.c", line 28.33: 1506-022 (S) "data" is not a member of "const struct http_auth_challenges_test". "test-http-auth.c", line 28.41: 1506-026 (S) Number of initializers cannot be greater than the number of aggregate members. "test-http-auth.c", line 29.33: 1506-022 (S) "params" is not a member of "const struct http_auth_challenges_test". "test-http-auth.c", line 30.43: 1506-026 (S) Number of initializers cannot be greater than the number of aggregate members. "tes...

On 09-Oct-16 22:51, Aki Tuomi wrote: >> >> Michael > > Does the compiler support C99 standard? > > Aki Yes. Plus extended features. Key difference with GCC, e.g., are the flags to the compiler, but autotools general manages those well. Key difference with platform (well, of of) is that it is not GNU, and how shared libraries are built. Again, libtool in particular,

Hello! I am aggregating using a formula in aggregate - of the type: aggregate(cbind(var1,var2,var3)~factor1+factor2,sum,data=mydata) However, I actually have an object (vector of my variables to be aggregated): myvars<-c("var1","var2","var3") I'd like my aggregate formula (its "cbind" part) to be able...

Hi, R users, I'm wondering how I can aggregate data in R with different functions for different columns. For example: x<-rep(1:5,3) y<-cbind(x,a=1:15,b=21:35) y<-data.frame(y) I want to aggregate "a" and "b" in y by "x". With "a", I want to use function "mean"; with "b", I w...

Consider the following scrap of code: > x<- ts(1:50,start=c(1,11),freq=12) > y <- aggregate(x,nfreq=4) > c(y) [1] 6 15 24 33 42 51 60 69 78 87 96 105 114 123 132 141 > y Error in rep.int("", start.pad) : invalid number of copies in rep.int() > tsp(y) [1] 1.833333 5.583333 4.000000 So we can aggregate into quarters, but we cannot print it using print.ts...