Updated the README.md with new changes and documents readdlmsql function

Author: quinnj

README.md

@@ -40,10 +40,14 @@ inspect).
 
   For the general user, a simple `query(querystring)` is enough to return a single resultset in a DataFrame. Results are stored in the passed SQLiteDB type's resultset field. (i.e. `sqlitedb.resultset`). Results are stored by default to avoid immediate garbarge collection and provide access for the user even if the resultset returned by query isn't stored in a variable.
 
-* `* createtable(input::TableInput,conn::SQLiteDB=sqlitedb;name::String="",delim::Char='\0',header::Bool=true,types::Array{DataType,1}=DataType[],infer::Bool=true)`
+* `createtable(input::TableInput,conn::SQLiteDB=sqlitedb;name::String="",delim::Char='\0',header::Bool=true,types::Array{DataType,1}=DataType[],infer::Bool=true)`
 
   `createtable` takes either a `DataFrame` argument or file name string. The DataFrame or file is converted to an SQLite table in the specified `SQLiteDB`. By default, the resulting table will have the same name as the DataFrame variable or file name, unless specifically passed with the `name` keyword argument. The `delim`, `header`, `types`, and `infer` keyword arguments are for use with files. `delime` specifies the file delimiter, (comma ',', tab '\t', etc.). `header` specifies whether the file has a header or not and generates column names if needed. `types` allows the user to specify the column types to be read in, while `infer` allows an algorithm to figure out each columns type before commiting to the SQLite table. Note that if the `types` argument is empty and `infer=false`, then all values will be passed as Strings/text, which ends up being very fast, but obviously without any resulting type information.
 
+* `readdlmsql(input::String,conn::SQLiteDB=sqlitedb;sql::String="select * from file",name::String="file",delim::Char='\0',header::Bool=true,types::Array{DataType,1}=DataType[],infer::Bool=true)`
+
+  `readdlmsql` is pretty simple, and is really just a wrapper around a `createtable` call + `query` call. Arguments are specified similar to `createtable`, with an additional `sql::String` keyword argument where a user can specify a query string to run on the created table to return in a DataFrame. Cousin function to `sqldf` R package's `read.csv.sql` function.
+
 * `droptable(conn::SQLiteDB=sqlitedb,table::String)`
 
   `droptable` is pretty self-explanatory. It's really just a convenience wrapper around `query` to execute a DROP TABLE command.
@@ -54,8 +58,6 @@ inspect).
 
 
 
-  `createtable` specifying a delimted (csv,tsv,etc.) file for the table to be created from. `readdlmsql` will then be possible, allowing a raw file to be read and a DataFrame to be returned according to a given SQL statement.
-
 #### Types
 * `SQLiteDB`