named

How to add a named vector to a data frame, with the components of the vector reordered according to the column names of the data frame? I need to build a data frame one row at a time. A named vector is obtained by some processing and it provides the values for the row to be inserted. Problem is the named vector doesn't have components in the same order as data frame columns. This makes rbind produce wrong result. Here is the very simplified sample code: df = data.frame(id=1:2, va=11:12, vb=21:22, vc=31:32) v1 = c(id=4, va=14, vb=25, vc=NA) df = rbind(df, v1) So far, so good as this produces

In C# 7 you can have named tuples: var foo = (Name: "Joe", Age: 42); If I pass this to a MVC model using: return View(foo); Then what syntax should be used in the cshtml file to declare the model? Although this doesn't work, something like... @model (string Name, int Age); As for current time you can't and need to use @model Tuple<string, int> //or @model ValueTuple<string, int> For the difference between the two options: What's the difference between System.ValueTuple and System.Tuple? You can follow on GitHub: Razor throws CompilationFailedException when iterating over named Tuple (I know it

Is there a way to use mapply on two vectors to construct a named list? The first vector would be of type character and contain the names used for the list while the second contains the values. So far, the only solution I have is: > dummyList = list() > addToList <- function(name, value) { + dummyList[[name]] <- value + } > mapply(addToList, c("foo", "bar"), as.list(c(1, 2)) $foo `1` $bar `2` This seems like a rather contrived solution, but I can't figure out how to do it otherwise. The problems I have with it are: It requires the creation of dummyList even though dummyList is never changed and

Is there any default scope for a @Named CDI bean without additional @...Scoped annotations? I have not found any relevant information in the official Weld documentation . A @Named bean can be accessed over JSF without additional annotations, so some implicit scope seems likely. Thank you The default scope is the dependent pseudo-scope @Dependent , as stated in the weld documentation : CDI features the so-called dependent pseudo-scope. This is the default scope for a bean which does not explicitly declare a scope type. [...] An instance of a dependent bean is never shared between different

I have two lists, whose elements have partially overlapping names, which I need to merge/combine together into a single list, element by element: > lst1 <- list(integers=c(1:7), letters=letters[1:5], words=c("two", "strings")) > lst2 <- list(letters=letters[1:10], booleans=c(TRUE, TRUE, FALSE, TRUE), words=c("another", "two"), floats=c(1.2, 2.4, 3.8, 5.6)) > lst1 $integers [1] 1 2 3 4 5 6 7 $letters [1] "a" "b" "c" "d" "e" $words [1] "two" "strings" > lst2 $letters [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" $booleans [1] TRUE TRUE FALSE TRUE $words [1] "another" "two" $floats [1] 1.2 2.4 3.8

I am looking for just the value of the B1(newx) linear model coefficient, not the name. I just want the 0.5 value. I do not want the name "newx". newx <- c(0.5,1.5.2.5) newy <- c(2,3,4) out <- lm(newy ~ newx) out looks like: Call: lm(formula = newy ~ newx) Coefficients: (Intercept) newx 1.5 1.0 I arrived here. But now I am stuck. out$coefficients["newx"] newx 1.0 For a single element like this, use [[ rather than [ . Compare: coefficients(out)["newx"] # newx # 1 coefficients(out)[["newx"]] # [1] 1 More generally, use unname() : unname(coefficients(out)[c("newx", "(Intercept)")]) # [1] 1.0 1.5