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...n with 2 free parameters to find a list of values (which are the number of incorrect predictions for a computational model). I want to find the values of i,e when there is the minimum number of incorrect predictions. In other words, the value of "i" and "e" when variable "thesum" is at the lowest possible number. The bestDeltas variable at the bottom worked with 1 free parameter. structure(list(grid = c(3162L, 3162L, 3162L, 3162L, 3162L, 3162L, 3162L, 3162L, 3162L, 3162L, 3162L, 3162L, 3162L, 3162L, 3162L, 3162L, 3162L, 3162L, 3162L, 3162L), RepNum = c(1L, 1L, 1L, 1...

...d is only really important for clarity and debugging the IR being produced. It means you could start out with something like [...] %1 = add i32 %lhs, %rhs ret i32 %1 [...] (where the %1 is just an automatically incrementing label provided by LLVM) then call MyAddInst.setName("theSum") and LLVM would automatically convert this to: %theSum = add i32 %lhs, %rhs ret i32 %theSum You still have to have an initialised, valid Value pointer to be able to do this. > 3- I'm not sure about "select" instruction, you mean that the address is the > new des...

1- I need the first example. 2- I set the Address uninitialized according to the documentation " Setting the name on the Value automatically updates the module's symbol table" from Value.h source code 3- I'm not sure about "select" instruction, you mean that the address is the new destination (basic block)that will be added Thanks On 23 July 2013 16:38, Tim Northover

...debugging the IR being produced. It means you could start > out with something like > > [...] > %1 = add i32 %lhs, %rhs > ret i32 %1 > [...] > > (where the %1 is just an automatically incrementing label provided by > LLVM) then call MyAddInst.setName("theSum") and LLVM would > automatically convert this to: > > %theSum = add i32 %lhs, %rhs > ret i32 %theSum > > You still have to have an initialised, valid Value pointer to be able > to do this. > > > 3- I'm not sure about "select" instruction, you...

Hello there, How would I go about creating a function that will read a vector containing names of variables and then will output tables of proportions for all the categorical variables and summary statistics appropriate for all quantitative variables for all variables read by the function. Thank you! [[alternative HTML version deleted]]