The rbind function in R conveniently adds the names of the vectors to the rows of the matrix. You name the values in a vector, and you can do something very similar with rows and columns in a matrix. These row and column names can be used just like you use names for values in a vector. Rename Basic; Rename Multiple Columns Together; Clean up Column Names; Make the Case (UPPER / lower) Consistent Among All Columns; Rename Basic. Let’s take a look at the very basic. Renaming a column one by one. Select ‘Rename’ from the column header menu of the column you want to change the name.
(, ) (, )Arguments.dataA tbl. All main verbs are S3 generics and provide methodsfor tbldf, dtplyr::tbldt and dbplyr::tbldbi.One or more unquoted expressions separated by commas.You can treat variable names like they are positions, so you canuse expressions like x:y to select ranges of variables.Positive values select variables; negative values drop variables.If the first expression is negative, select will automaticallystart with all variables.Use named arguments, e.g. Newname = oldname, to rename selected variables.The arguments in. Are automatically quoted andevaluated in a context where column namesrepresent column positions. They also supportunquoting and splicing. Seevignette('programming') for an introduction to these concepts.See select helpers for more details andexamples about tidyselect helpers such as startswith, everything.DetailsThese functions work by column index, not value; thus, an expressionlike select(data.frame(x = 1:5, y = 10), z = x+1) does not create a variablewith values 2:6.
(In the current implementation, the expression z = x+1wouldn't do anything useful.) To calculate using column values, seemutate/ transmute.ValueAn object of the same class as.data.Useful functionsAs well as using existing functions like: and c, there area number of special functions that only work inside select:.startswith, endswith, contains.matches.numrange.oneof.everything.groupcolsTo drop variables, use.Note that except for:, - and c, all complex expressionsare evaluated outside the data frame context. This is to preventaccidental matching of data frame variables when you refer tovariables from the calling context.Scoped selection and renamingThe three scoped variants of select ( selectall,selectif and selectat) and the three variants ofrename ( renameall, renameif, renameat) make iteasy to apply a renaming function to a selection of variables.Tidy dataWhen applied to a data frame, row names are silently dropped. To preserve,convert to an explicit variable with tibble::rownamestocolumn.See AlsoOther single table verbs:, Examples.
% ( gender )%% ( ) # The.data pronoun is available: (, $ cyl ) (, $ mpg: $ disp ) # However it isn't available within calls since those are evaluated # outside of the data context. This would fail if run: # select(mtcars, identical(.data$cyl)) # Renaming - #. select keeps only the variables you specify (, petallength = Petal.Length ) #. rename keeps all variables (, petallength = Petal.Length ) #. select can rename variables in a group (, obs = ( 'S' )) # Unquoting - # Like all dplyr verbs, select supports unquoting of symbols.
Attaching package: 'dplyr' The following are masked from 'package:stats':, The following are masked from 'package:base':, # A tibble: 150 x 2 Petal.Length Petal.Width 1 1.4 0.2 2 1.4 0.2 3 1.3 0.2 4 1.5 0.2 5 1.4 0.2 6 1.7 0.4 7 1.4 0.3 8 1.5 0.2 9 1.4 0.2 10 1.5 0.1 #. With 140 more rows # A tibble: 150 x 2 Sepal.Width Petal.Width 1 3.5 0.2 2 3 0.2 3 3.2 0.2 4 3.1 0.2 5 3.6 0.2 6 3.9 0.4 7 3.4 0.3 8 3.4 0.2 9 2.9 0.2 10 3.1 0.1 #. With 140 more rows # A tibble: 150 x 5 Species Sepal.Length Sepal.Width Petal.Length Petal.Width 1 setosa 5.1 3.5 1.4 0.2 2 setosa 4.9 3 1.4 0.2 3 setosa 4.7 3.2 1.3 0.2 4 setosa 4.6 3.1 1.5 0.2 5 setosa 5 3.6 1.4 0.2 6 setosa 5.4 3.9 1.7 0.4 7 setosa 4.6 3.4 1.4 0.3 8 setosa 5 3.4 1.5 0.2 9 setosa 4.4 2.9 1.4 0.2 10 setosa 4.9 3.1 1.5 0.1 #.
With 140 more rows # A tibble: 150 x 5 Sepal.Width Petal.Length Petal.Width Species Sepal.Length 1 3.5 1.4 0.2 setosa 5.1 2 3 1.4 0.2 setosa 4.9 3 3.2 1.3 0.2 setosa 4.7 4 3.1 1.5 0.2 setosa 4.6 5 3.6 1.4 0.2 setosa 5 6 3.9 1.7 0.4 setosa 5.4 7 3.4 1.4 0.3 setosa 4.6 8 3.4 1.5 0.2 setosa 5 9 2.9 1.4 0.2 setosa 4.4 10 3.1 1.5 0.1 setosa 4.9 #.