do v1.4.0.0


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Data Operator

Flexibly convert data between long and wide format using just two functions: reshape_toLong() and reshape_toWide().



Functions in do

Name Description
character.nms Return character names in matrix or dataframe
NA.row.prob Proportion of missing value by row
chinese_utf8 UTF8 Code for Chinese
Trim Trim
Replace_ex Replace Exactly
NA.col.prob Proportion of missing value by column
inner_Add_Symbol Concatenate Strings
delete_left Delete and Move Left the rest Values
join Join two dataframes together
delete_up Delete and Move Up the Rest Values
col_split Split A Vector into Columns
paste0_columns Paste Columns Together
numeric.nms Return numeric names in matrix or dataframe
equal_length Equal Length Extract data of model
name.n Names with different letters
expand Expand Data by Weight
common Find Common Objects from Vectors
left Truncate Characters from the Left
reverse Reverse String Order
get_names Get Names of Object
mid Truncate Characters from the Inside
right Truncate Characters from the Right
split_expand Split One Column and Expand
row.freq Row Frequency
factor.nms Return factor names in matrix or dataframe
unique_no.NA Unique Without NA Create dump matrix for a vector
%==% Locate Accurately
take_out Extract Some String
dup.connect Connect Duplicated Values
reshape_toLong Convert Wide Data to Long
%s=% Locate Similarly by grep()
reshape_towide Reshape to Wide Format
Nchar Number of Characters
NA.col.sums Sum of missing value by column
NA.whole.sums Sum of missing value in the whole dataframe
Replace0 Replaced by Empty
NA.row.sums Sum of missing value by row
Grepl Judge for Included Character
Replace Replace
NA.whole.prob Proportion of missing value in the whole dataframe
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Type Package
License GPL-3
Encoding UTF-8
LazyData true
RoxygenNote 7.1.1
VignetteBuilder knitr
NeedsCompilation no
Packaged 2020-07-27 15:10:05 UTC; asus
Repository CRAN
Date/Publication 2020-07-27 16:10:07 UTC

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