%==%                    Locate Accurately
%s=%                    Locate Similarly by grep()
Grepl                   Judge for Included Character
NA.col.prob             Proportion of missing value by column
NA.col.sums             Sum of missing value by column
NA.row.prob             Proportion of missing value by row
NA.row.sums             Sum of missing value by row
NA.whole.prob           Proportion of missing value in the whole
                        dataframe
NA.whole.sums           Sum of missing value in the whole dataframe
Nchar                   Number of Characters
Replace                 Replace
Replace0                Replaced by Empty
Replace_ex              Replace Exactly
Trim                    Trim
character.nms           Return character names in matrix or dataframe
chinese_utf8            UTF8 Code for Chinese
col_split               Split A Vector into Columns
common                  Find Common Objects from Vectors
delete_left             Delete and Move Left the rest Values
delete_up               Delete and Move Up the Rest Values
dump.it                 Create dump matrix for a vector
dup.connect             Connect Duplicated Values
equal_length            Equal Length
expand                  Expand Data by Weight
factor.nms              Return factor names in matrix or dataframe
get_names               Get Names of Object
inner_Add_Symbol        Concatenate Strings
join                    Join two dataframes together
left                    Truncate Characters from the Left
mid                     Truncate Characters from the Inside
model.data              Extract data of model
name.n                  Names with different letters
numeric.nms             Return numeric names in matrix or dataframe
paste0_columns          Paste Columns Together
reshape_toLong          Convert Wide Data to Long
reshape_towide          Reshape to Wide Format
reverse                 Reverse String Order
right                   Truncate Characters from the Right
row.freq                Row Frequency
split_expand            Split One Column and Expand
take_out                Extract Some String
unique_no.NA            Unique Without NA
