duplicates

I have been struggling with how to select ONLY duplicated rows of data.frame in R. For Instance, my data.frame is: age=18:29 height=c(76.1,77,78.1,78.2,78.8,79.7,79.9,81.1,81.2,81.8,82.8,83.5) Names=c("John","John","John", "Harry", "Paul", "Paul", "Paul", "Khan", "Khan", "Khan", "Sam", "Joe") village <- data.frame(Names, age, height) Names age height John 18 76.1 John 19 77.0 John 20 78.1 Harry 21 78.2 Paul 22 78.8 Paul 23 79.7 Paul 24 79.9 Khan 25 81.1 Khan 26 81.2 Khan 27 81.8 Sam 28 82.8 Joe 29 83.5 I want to see the result as following: Names age height John 18 76.1 John 19 77.0 John 20 78

I have two lists: List A {A, B, C, D} List B {A, E, F, G} I need to produce three lists: One with the items only in list A (B, C, D) One with the items only in list B (E, F, G) One with the items in both (A) Given that the lists are actually registry keys, there could be a huge number of them so I can foresee a huge performance overhead if I choose to use traditional ForEach or For(int i...) methods. I am not averse to these if they will do the job efficiently but I would prefer to use Linq. Has anyone got any ideas? I don't care about identical records. I have already created an IEquatable<>

I'm trying to identify all rows which are represented twice or more in a matrix. For example: m <- matrix(c(1,2,1,3,1,4,1,2,2,3,2,3,1,2,5), ncol = 3) m duplicated(m[,1]) Outputs: [,1] [,2] [,3] [1,] 1 4 2 [2,] 2 1 3 [3,] 1 2 1 [4,] 3 2 2 [5,] 1 3 5 [1] FALSE FALSE TRUE FALSE TRUE However, I do not want that output. I want: [1] TRUE FALSE TRUE FALSE TRUE since row[1,1]'s value appears 3 times in m's column 1. When I saw this question I asked myself "what would Jim Holtman or Bill Dunlap advise on Rhelp?". Haven't looked in the archives, but I think they might have advised using two "parallel"

I am building java jar file using ant. I need to include additional jars using "zipfileset src="xxx.jar" "zipfileset src="yyy.jar" and both xxx.jar and yyy.jar have the classes with the SAME fully-qualified class names. So the resulting jar file has duplicate class names. What are the possible implications of having duplicates? Thank you. If they're duplicate implementations, nothing–it wouldn't matter which is loaded. If not, you're at the mercy of class load order, and may get a different version than you want. It is specified that classpath entries will be searched in the order listed (as

I have to make a function in JavaScript that removes all duplicated letters in a string. So far I've been able to do this: If I have the word "anaconda" it shows me as a result "anaconda" when it should show "cod". Here is my code: function find_unique_characters( string ){ var unique=''; for(var i=0; i<string.length; i++){ if(unique.indexOf(string[i])==-1){ unique += string[i]; } } return unique; } console.log(find_unique_characters('baraban')); We can also now clean things up using filter method: function removeDuplicateCharacters(string) { return string .split('') .filter(function(item, pos

While creating product, at the last step after retrieving for a time, Magento gives following error-: SQLSTATE[23000]: Integrity constraint violation: 1062 Duplicate entry '1922-1' for key 'IDX_STOCK_PRODUCT' What I am doing is, by capturing product id, I am putting it's entry in custom table. I have connected to Magento database externally. Surprisingly data is inserted in both Magento's base table & also in Custom table but why it is giving me that error after product saving...? I cleared cache, browser cookies. Also remove /var/cache, /var/session. still giving error. Can anybody suggest a

I use a lot of packages and I know some functions are masked because they exist in several different packages. Is there a way to get the list of duplicate functions (or masked functions?) The ideal would be to have a list of duplicate function and for each of them, the list of packages in which it exists. in R base: conflicts(detail=TRUE) And to find the list of environments that contain a version of getAnywhere(x = "functionA") Note: getAnywhere also finds the functions which are not exported. and that are hence not creating conflicts. A better (simpler) result could be obtained using: x =