Data Operator


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Documentation for package ‘do’ version 1.8.0.0

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%==% Locate Accurately
%s=% Locate Similarly by grep()
add_biocViews Add biocViews Field to Description File
all_children Extract all children nodes
Apriori.Basket Convert vector to sparse matrix
as.data.frame.rules Transform rules to dataframe
as.transactions Transform to transactions
c.xml_nodeset Comine xml_nodeset
character.nms Return character names in matrix or dataframe
chinese_utf8 UTF8 Code for Chinese
columntrans Change data type
col_split Split A Vector into Columns
common Find Common Objects from Vectors
complete.data Complete data
decrease decrease character
delete_left Delete and Move Left the rest Values
delete_up Delete and Move Up the Rest Values
detach2 Detach package
dump.it Create dump matrix for a vector
dup.connect Connect Duplicated Values
duplicated_all Determine All Duplicate Elements
duplicated_last Determine Duplicate Elements in the Last Position
equal_length Equal Length
expand Expand Data by Weight
factor.it Change data type
factor.it<- Change data type
factor.nms Return factor names in matrix or dataframe
get_names Get Names of Object
Grepl Judge for Included Character
has_children Wether children nodes exist
increase increase 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
keep Keep objects
knife Knife characters
knife_left Knife characters
knife_right Knife characters
left Truncate Characters from the Left
mid Truncate Characters from the Inside
mirror.current Current mirror
mirror.speed Test speed of mirror
model.data Extract data of model
model.x Extract data of model
model.y 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
names_n Names with different letters
Nchar Number of Characters
numeric.it Change data type
numeric.it<- Change data type
numeric.nms Return numeric names in matrix or dataframe
paste0_columns Paste Columns Together
pipe pipe
Replace Replace
Replace0 Replaced by Empty
Replace_ex Replace Exactly
replicate Replicate Each Elements of Vectors
rep_character Replicate Each Elements of Vectors
rep_n Replicate Each Elements of Vectors
reshape_toLong Convert Wide Data to Long
reshape_toWide Reshape to Wide Format
reverse Reverse String Order
right Truncate Characters from the Right
rm_all Remove all objects
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