Data Operator


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Documentation for package ‘do’ version 1.4.0.0

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%==% 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