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...39;, 'John Chan', 'M', '0909') Table_B <- rbind(Table_B, c('khn at hotmail.com', 'Rosy Kim', 'F', '7779')) colnames(Table_B) <- c('Email', 'Name', 'Sex', 'Phone') Table_B Did you have a look at this one? Table_C <- merge (Table_A, Table_B, by="Email", all = TRUE) Table_C[is.na(Table_C$Name.y),] Table_C[is.na(Table_C$Name.x),] Table_C contains all data from Table_A and Table_B. The key.x is NA if the row comes from Table_B and key.y is NA if the row comes from Table_A. Best, Robin On 05/02/...

Thanks - Peter, Eivind, Rui Sorry, I perhaps could not explain it properly in the first go. Trying to simplify it here with an example - Say I have two dataframes as below that are NOT equally-sized data frames (i.e., number of columns are different in each table): Table_A: Email Name Phone abc at gmail.com John Chan 0909 bcd at yahoo.com Tim Ma

Hello everyone, Here''s my problem for the day: I have three tables that look a little like the following table_a id table_b id position table_a_id name table_c id table_a_id table_b_position There will be many rows in table_c that have the same table_a_id, and the same table_b_position. These will all be referencing the same name value in table_b. The row in table_b may or may not exist, and table_b_position is a meaningful field with or without a...

I have a set of one-to-many relationships, nested 4 deep. In other words: table_A has_many table_B, table_B belongs_to table_A, has_many table C, table_C belongs_to table_B, has_many table D, table_D belongs_to table_C Now, I want to to find on table_A, based on criteria in table_D, and I want to paginate it. And I need fields from all four tables in the result set. Does anyone know how I can go about this? I know that this will work: @tabl...