apply

I have a 114 row by 16 column data frame where the rows are individuals, and the columns are either their names or NA. For example, the first 3 rows looks like this: name name.1 name.2 name.3 name.4 name.5 name.6 name.7 name.8 name.9 name.10 name.11 name.12 name.13 name.14 name.15 1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> Aanestad <NA> Aanestad <NA> Aanestad <NA> 2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> Ackerman <NA> Ackerman <NA> Ackerman <NA> Ackerman <NA> 3 <NA> <NA> <NA> <NA> <NA> <NA> Alarcon <NA> Alarcon <NA> Alarcon <NA> Alarcon <NA> <NA> <NA> I want to generate a list (if

I have two data frames, df1 with reference data and df2 with new data. For each row in df2 , I need to find the best (and the second best) matching row to df1 in terms of hamming distance. I used e1071 package to compute hamming distance. Hamming distance between two vectors x and y can be computed as for example: x <- c(356739, 324074, 904133, 1025460, 433677, 110525, 576942, 526518, 299386, 92497, 977385, 27563, 429551, 307757, 267970, 181157, 3796, 679012, 711274, 24197, 610187, 402471, 157122, 866381, 582868, 878) y <- c(356739, 324042, 904133, 959893, 433677, 110269, 576942, 2230, 267130,

My question is simple. When data is as below, var1 var2 var3 10 40 60 15 10 5 I want to add a new column MaxValueVar that returns index of a column that has maximum value among var1 , var2 and var3 . That is, I want to make a table as below. var1 var2 var3 MaxValueVar 10 40 60 3 15 10 5 1 In R I would use: apply(vector, 1, which.max) How can I accomplish this using SAS? One Solution for your reference according to the sample you provide here. You didn't mention how to deal with ties. Here for ties, the first occurrence is fetched. data test; input var1 var2 var3; datalines; 10 40 60 15 10 5

Say I have multiple data frames which all have identical vector names and I'd like to cbind all which have a commmon pattern. So for these 3 data frames: df.1 <- data.frame(column1 = factor(sample(c("Male","Female"), 10, replace=TRUE)), speed=runif(10)) df.2 <- data.frame(column1 = factor(sample(c("Male","Female"), 10, replace=TRUE)), speed=runif(10)) df.3 <- data.frame(column1 = factor(sample(c("Male","Female"), 10, replace=TRUE)), speed = runif(10)) I would like to rbind everything with the common pattern "df.*" I have tried creating a list and then creating a data-frame from this using:

I would like to apply a certain (custom) function to all combinations of an array. I think its best to explain with an example: Matrix 1 : A B C 1 2 3 Matrix 2 : A B C 4 5 6 I would like to do the following: obtain all the combinations of Matrix two and apply a function to each as follows: Matrix 3 : AB AC BC CB CA BA 4/2 4/3 5/3 6/2 6/1 5/1 Where the function applied to Matrix 3 is the corresponding element of Matrix 2 (represented by the first letter in each column of Matrix 3)/the corresponding element of Matrix 2 (represented by the second letter in each column in Matrix 3). Please let me

I want to create a class in Java from a classname and an variable number of arguments (i.e. an Object[] args with variable length). Is there any way to achieve that? Basically, the method would look like this in Javascript function createClass(classname, args) { protoObject = Object.create(window[classname].prototype); return window[classname].apply(protoObject,args) || protoObject; } // I want to be able to do this: var resultClass = createClass("someClass", someArrayOfArgs); A simpler function to only call a function would look like function callFunction(functionName, args) { return window