在这里,在上面的代码中,行从原始 DataFrame 中永久删除。 本文由纯净天空筛选整理自nidhi_biet大神的英文原创作品Create Subsets of a Data frame in R Programming – subset() Function。非经特殊声明,原始代码版权归原作者所有,本译文未经允许或授权,请勿转载或复制。
To get the subset of the data frame by rows & columns in R, you can use the basic Rsubset() function, square bracket notationdf[], orfilter()fromdplyrpackage. The subset() is a versatile R function that allows to subset the data frame based on specified conditions for the rows and c...
perhaps we would like to look at only observations taken with a late time value. This allows us to ignore the early “noise” in the data and focus our analysis on mature birds. Returning to the subset function, we enter:
Example 2: Fix the Error in .subset(x, j) : invalid subscript type ‘list’ This section shows how to deal with the “Error in .subset(x, j) : invalid subscript type ‘list'”. For this, we simply need to exchange the list function by the c function, i.e. we need to subset ...
Let’s jump right to the programming part. Example 1: Extract Certain Data Frame Rows Based On Row Names In this example, I’ll show how to select particular lines of adata framebased on the row names of this data frame. First, let’s create an exemplifyingdata frame in R: ...
Is R base::subset() really that bad? Notes discussing subset() often refer to the following text (from help(subset), referred to in examples: 1, 2): Warning This is a convenience function intended for use interactively. For programming it is better to us
A Function-Composition Approach to Synthesize Fortran 90 Array Operations An increasing number of programming languages, such as Fortran 90 and APL, are providing a rich set of intrinsic array functions and array expressions. The... GH Hwang,JK Lee,DC Ju - 《Journal of Parallel & Distributed ...
2005. Subset selection in multiple linear regression: a new mathematical programming approach. Com- puters and Industrial Engineering 49: 155-167.Eksioglu, B., Demirer, R., and Capar, I. (2005), " Subset Selection in Multiple Linear Regression: A New Mathematical Programming Approach", ...
In addition, you could have a look at the other R tutorials of my homepage. You can find some interesting tutorials for the manipulation of data sets in R below: pull R Function of dplyr Package Select Only Numeric Columns from Data Frame ...
Key R function:filter()[dplyr package]. Used to filter rows that meet some logical criteria. Before continuing, we introduce logical comparisons and operators, which are important to know for filtering data. Logical comparisons The “logical” comparison operators available in R are: ...