%==% | Locate Accurately |
%s=% | Locate Similarly by grep() |
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 |
Grepl | Judge for Included Character |
inner_Add_Symbol | Concatenate Strings |
join | Join two dataframes together |
join_full | Join two dataframes together |
join_inner | Join two dataframes together |
join_left | Join two dataframes together |
join_out | Join two dataframes together |
join_right | Join two dataframes together |
left | Truncate Characters from the Left |
mid | Truncate Characters from the Inside |
model.data | Extract data of model |
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 |
name.n | Names with different letters |
Nchar | Number of Characters |
numeric.nms | Return numeric names in matrix or dataframe |
paste0_columns | Paste Columns Together |
Replace | Replace |
Replace0 | Replaced by Empty |
Replace_ex | Replace Exactly |
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 |
Trim | Trim |
trim-left | Trim |
trim-right | Trim |
Trim_left | Trim |
Trim_right | Trim |
unique_no.NA | Unique Without NA |