处理列名特殊的情况,我看的不是很懂: # If you have column names that don't work as attributes, you can use an # alternate "get item" notation with X. diamonds["column w/ spaces"] = range(len(diamonds)) diamonds >> select(X["column w/ spaces"]) >> head() 转置: # It's possible...
在上面的示例中,我们首先定义了要引用的变量名column_name。然后,我们使用!!sym(column_name)将变量名转换为符号,并在lead函数中使用它。最后,我们使用mutate函数将计算结果添加到数据框中。 使用lag函数: 代码语言:txt 复制 library(dplyr) # 定义要引用的变量名 column_name <- "column1" # 使用!!符号引...
以下示例起作用:iris %>%下面的regex示例没有: # Select all column names选择帮助函数中是否可以使用正则表达式,如果可以,则了解它们<e 浏览0提问于2019-08-22得票数 5 回答已采纳 1回答 AnnotationForge函数makeOrgPackage中出现“重复行”错误 、、 我正在使用AnnotationForge包创建一个有机体包,特别是makeOrg...
The mydf delay data frame only has airline information by code. I’d like to add a column with the airline names from mylookup. One base R way to do this is with the merge() function, using the basic syntax merge(df1, df2). The order of data frame 1 and data frame 2 doesn't ...
The main downside of this form is that it forces you to name each intermediate element. If there are natural names, this is a good idea, and you should do it. But many times, like this in this example, there aren’t natural names, and you add numeric suffixes to make the names uniq...
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Example 3: Convert Row Names to Column with data.table Package Video, Further Resources & Summary Here’s how to do it… Creation of Example Data We’ll use the followingdata frame in Ras basement for this R programming tutorial: data<-data.frame(x1=LETTERS[1:5],# Create example datax...
3.Nevermungescolumnnames. 4.Onlyrecycleslength1inputs. 5.Evaluatesitsargumentslazilyandinorder. 6.Addstbl_dfclasstooutput. Usage data_frame(...) data_frame_(columns) Arguments ...Asetofnamedarguments columnsAlazy_dots. SeeAlso as_data_frametoturnanexistinglistintoadataframe. Examples a-1:5 ...
num_range("x", 1:5, width = 2) # column/variable from x01 to x05 one_of("x", "y", "z") # column/variable contains in x, y, z everything() # all column/variable # e.g. order_tbl, check column names(order_tbl)
select(iris,ends_with("Length")) # Select every column. select(iris,everything()) # Select columns whose name matches a regular expression select(iris,matches(".t.")) # Select columns whose names are in a group of names select(iris,one_of(c("Species","Genus"))) # Select columns ...