The elements in a vector all have the same data type. 2)Matrices (two dimensional array): can hold numeric, character or logical values. The elements in a matrix all have the same data type. 3)Data frames (two-dimensional objects): can hold numeric, character or logical values. Within ...
df <- rbind(df[-c(1:2)],df_colmeans) 我得到以下错误 在rbind(df[-c(1:2)],df_colmeans:结果的列数不是向量长度的倍数(arg2) 如果有一种方法可以一步完成,而不创建单独的变量(df_colmeans),那将是理想的。 非常感谢您的帮助和建议。 list(Fe.II. = structure(list(Lab = c("AD", "AD", ...
> df = data.frame(n, s, b) # df is a data frame Build-in Data Frame We use built-in data frames in R for our tutorials. For example, here is a built-in data frame in R, called mtcars. > mtcars mpg cyl disp hp drat wt ... Mazda RX4 21.0 6 160 110 3.90 2.62 ... Maz...
Build-in Data FrameWe use built-in data frames in R for our tutorials. For example, here is a built-in data frame in R, called mtcars. > mtcars mpg cyl disp hp drat wt ... Mazda RX4 21.0 6 160 110 3.90 2.62 ... Mazda RX4 Wag 21.0 6 160 110 3.90 2.88 ... Datsun 710 ...
For data frames, the subset argument works on the rows. Note that subset will be evaluated in the data frame, so columns can be referred to (by name) as variables in the expression 1. 2. 3. 4. 对于数据框,参数在行上起作用,可以使用列名称作为表达式中的变量 > subset(patientdata,status=...
Use acastor dcastdepending on whether you want vector/matrix/array output or data frame output. Data frames can have at most two dimensions. 1.dcast——返回的结果是一个数据框 2.acast——返回的结果可以是向量、矩阵或者数组 调用格式为:
Error in names(X) : ‘names’ attribute must be the same length as the vector Error in Ops.data.frame() : only defined for equally-sized data frames Error in parse(text) : <text>:1:2: unexpected symbol Error in plot.new() : figure margins too large Error in plot.window(…) : ...
dataframes <- list(df1,df2,df3,df4,df5,df6) 然后批量保存,和前面的for循环比较一下,是不是基本一样? lapply(1:length(dataframes), function(x){ write.csv(dataframes[[x]], file = paste0("datasets/csvs/","df",x,".csv"), quote = F,row.names = F)})## [[1]]## NULL## #...
一切都很好,直到最后得到平均函数。当我输入"pollutantmean("specdata", "sulfate", 1:10)"时 It returns Warning message: In mean.default(df[[pollutant]], na.rm = TRUE) : argument is not numeric or logical: returning NA 我尝试过class(df),并检查它是一个数据帧,但不确定我错过了哪个部分,导致...
A:使用 rbind.fill 函数试试!数据集按列合并时,可以根据merge 或者 dplyr函数包的merge系列函数决定连接方式,达到数据合并的需求。...但是按行合并时常用的rbind,限制条件有点多,发现plyr包的rbind.fill 函数能比较好的解决这个问题。...data1,data2,data3 ...