Simple R functions to keep or remove data frame columns This function removes columns from a data frame by name: removeCols <- function(data, cols){ return(data[,!names(data) %in% cols]) } This function keeps c
Note: 2,4,5 are position of the variable in the data frame Method 3: Keep columns by index number using “dplyr” package (install package “dplyr” ) We are going to keep Payment ID, Country and Sales df = select (Testdata,2,4:5] Note: 2,4,5 are position of the variable in ...
myymatrix <- matrix(vector, nrow=number_of_rows, ncol=number_of_columns,byrow=logical_value, dimnames=list( char_vector_rownames, char_vector_colnames)) 1. 2. 其中vector包含了矩阵的元素,nrow和ncol用以指定行和列的维数,dimnames包含了可选的、以字符型向量表示的行名和列名。选项byrow则表明矩阵...
其中DataFrame(data=None,index=None,columns=None)其中index代表行名称,columns代表列名称 其中df.index/df.columns分别代表行名称与列名称: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 df.index #行名 df.columns #列名 其中index也是索引,而且不是那么好修改的。 ———- 二、以某规则重排列.reindex ...
myymatrix <- matrix(vector, nrow=number_of_rows, ncol=number_of_columns,byrow=logical_value, dimnames=list(char_vector_rownames, char_vector_colnames)) vector包含了矩阵的元素 nrow和ncol用以指定行和列的维数 选项byrow则表明矩阵应当按行填充(...
Our example data consists of one column. This column is acharacter stringand each value of this column is separated with a – sign. In the following examples, I’ll showhow to splitthis column into multiple columns based on the delimiter “-“. So keep on reading. ...
Example 1: for-Loop Through Columns of Data Frame In this Example, I’ll illustratehow to use a for-loopto loop over the variables of a data frame. First, let’s store our data frame in a new data object: data1<-data# Replicate example data ...
traitData=read.csv("G:/ClinicalTraits.csv");dim(traitData)names(traitData)#remove columns that hold information wedonot need.allTraits=traitData[,-c(31,16)];allTraits=allTraits[,c(2,11:36)];dim(allTraits)names(allTraits)# Forma data frame analogous to expression data that will hold the...
结果不言而喻,因为keepstates保存到with()之外的全局环境中,而nookeepstates没有,所以当离开了with(),只有keepstates存在。 2.实力标识符 通过row.names=某个变量指定实例标识符,我的理解,是我们在学校的学号,工作中的工号那样的作用 patientdata<-data.frame(patientID,age,diabetes,status,row.names=patientID)...
df <- data.frame( x = 1:3, y = x + 2 ) ## Error in data.frame(x = 1:3, y = x + 2): object 'x' not found 因此,在这一点上tibble()做的比较人性化。 大家还可以发现tibble另一个优势:tibble输出时,会显示多一行,用来指定每一列的类型。