WebSolution and Output. #test.df==1 gives a TRUE/FALSE matrix #which with the arr.ind argument=TRUE gives the row/col of the TRUE elements a <- which (test.df==1,arr.ind=T) > a row col [1,] 1 1. And then you use the above to get the row and column names: WebApr 21, 2011 · The question was to get the column, not to try to convert it to numeric. In case you wanted to use that trick to convert to a vector, you don't have to. If you select a single column or row, R automatically reduces the dimensions. You can avoid that using drop = FALSE as an extra argument to the index operator [, eg: A[,'l', drop = FALSE] –
How to change Row Names of DataFrame in R
WebOct 20, 2024 · To select elements of a data.frame by name just insert them as strings. If you want multiple rows or columns you will have to put them into a vector with c() . > mtcars['Mazda RX4 Wag','wt'] [1] 2.875 WebNov 17, 2010 · This will give you the row/column names for each entry that equals the minimum value; if you just want the first one, you could only check inds [1,1] and inds [1,2]. You can also do inds <- arrayInd (which.min (mat), dim (mat)). That'll save you from allocating the result of the == and also guarantee a single row. dog flea and tick chewable tablets
Select Data Frame Rows Based On Row Names in R (Example …
WebHere’s an example code to convert a CSV file to an Excel file using Python: # Read the CSV file into a Pandas DataFrame df = pd.read_csv ('input_file.csv') # Write the DataFrame to an Excel file df.to_excel ('output_file.xlsx', index=False) Python. In the above code, we first import the Pandas library. Then, we read the CSV file into a Pandas ... WebMay 17, 2024 · There are five common ways to extract rows from a data frame in R: Method 1: Extract One Row by Position. #extract row 2 df[2, ] Method 2: Extract Multiple Rows by Position. #extract rows 2, 4, and 5 df[c(2, 4, 5), ] Method 3: Extract Range of Rows. #extract rows in range of 1 to 3 df[1:3, ] Method 4: Extract Rows Based on One Condition WebDec 19, 2024 · A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions. faded v cut