其次,就是tidyverse包也有其自身的含义在里面,tidy+verse就是整洁+转变,简单理解意思就是数据清洗,而整洁的数据有三个特征分别是:1.每列为一个变量(Each variable is in a column);2.每行为一个观测(Each observation is in a row);3.每个单元格为一个取值(Each value is a cell)。我们使用tidyverse的目的...
image-20191213225203634 Select column based on a condtion my_data%>%select_if(is.numeric) image-20191213231701684 Remove columns 1.drop columns by position my_data%>%select(-Sepal.Length,-Petal.Length) image-20191213225353696 my_data%>%select(-(Sepal.Length:Petal.Length)) [图片上传失败...(image...
separate(ID, into = c("Gene1", "IDnum1"),sep = "\\|",remove = FALSE) 2.4,按照第几个字符拆 根据第几个字符拆分,适合数据规整的,,, 可以用来将TCGA中的sampleID转为常见的16位,需要先转置 data2 %>% select(Gene1,contains("TCGA")) %>% #选择指定列column_to_rownames(var = "Gene1")...
data2<-data%>% separate(ID,into=c("Gene1","IDnum1"),sep="\\|",remove=FALSE) 2.4,按照第几个字符拆 根据第几个字符拆分,适合数据规整的,,, 可以用来将TCGA中的sampleID转为常见的16位,需要先转置 # data2%>%select(Gene1,contains("TCGA"))%>%#选择指定列 column_to_rownames(var="Gene1"...
rownames_to_column(var="Sample")%>%#行名变为数据中的列 separate(Sample,into=c("Sample","bar"),sep=16)%>%#按照规则取前16个字符 select(-bar)#去掉分割后不需要的bar列 可参考:盘一盘Tidyverse| 筛行选列之select,玩转列操作 Tips:
-- Column specification ---cols( Sepal.Length = col_double(), Sepal.Width = col_double(), Petal.Length = col_double(), Petal.Width = col_double(), Species = col_character() ) > df # A tibble: 150 x 5 Sepal.Length Sepal.Width ...
data2<-data%>%separate(ID,into=c("Gene1","IDnum1"),sep="\\|",remove=FALSE) 2.4,按照第几个字符拆 根据第几个字符拆分,适合数据规整的,,, 可以用来将TCGA中的sampleID转为常见的16位,需要先转置 代码语言:javascript 复制 代码语言:javascript ...
rownames_to_column(): 行名转列,个人感觉非常有用,不喜欢导入数据时第一列被自动转换成列名 rowid_to_column(): 行号转列 column_to_rownames(): 列转列名 has_rownames(): 判断是否有列名 remove_rownames(): 移除列名 > mtcars %>% has_rownames()[1] TRUE ...
将原数据框中的所有列赋给一个新变量...key value:将原数据框中的所有值赋给一个新变量value ...:可以指定哪些列聚到一列中 (同reshape2区别) na.rm:是否删除缺失值 1 转换全部列 #宽转长 mtcars_long % rownames_to_column...这实际将原来gather后的结果还原为gather前, 结果与mtcars一样,只是各列...
Each variable is a column; each column is a variable. Each observation is a row; each row is an observation. Each value is a cell; each cell is a single value. Tidy data describes a standard way of storing data that is used wherever possible throughout thetidyverse. If you ensure that...