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To find the row and column position of a value as vector in an R matrix, we can follow the below steps −First of all, create a matrix.Then, find the row and column position of a particular value using which function and reading the output with as.vector function.Example 1Create a matrixLet's create a matrix as shown below − Live DemoM1
To divide the row values by row maximum in R’s data.table object, we can follow the below steps −First of all, create a data.table object.Then, use apply function to divide the data.table object row values by row maximum.Create the data frameLet's create a data frame as shown below −library(data.table) x
To find the critical value of F for one-way ANOVA in R, we can follow the below steps −First of all, create a data frame with one categorical and one numerical column.Then, use aov function to find the anova table.After that, use qf function to find the critical value of F for one-way ANOVA.Create the data frameLet's create a data frame as shown below − Live DemoGrp
To expand a data frame rows by its index position in R, we can follow the below steps −First of all, create a data frame.Then, use rep and seq_len function with nrow to expand the data frame rows by their index position.Create the data frameLet's create a data frame as shown below − Live Demox1
To divide matrix row values by row standard deviation in R, we can follow the below steps −First of all, create a matrix.Then, use apply function to divide the matrix row values by row standard deviation.Create the matrixLet's create a matrix as shown below − Live DemoM
To print a factor vector without levels in R, we can follow the below steps −First of all, create a factor vector.Then, use as.character function to read the vector.Example 1Create a factor vectorLet’s create a vector called f1 as shown below − Live Demof1
To return a logical value for a t test based on 0.05 level of significance in R, we can follow the below steps −First of all, create a data frame with one column.Apply t.test function with ifelse to return logical value based on 0.05 level of significance.Example1Create the data frameLet's create a data frame as shown below − Live Demox
To find the maximum value in each matrix stored in an R list, we can follow the below steps −First of all, create a list of matrices.Then, use max function along with lapply function to find the maximum of each matrix.Create the list of matricesUsing matrix function to create multiple matrices and stored them in a list using list function − Live DemoM1
To divide matrix row values by row median in R, we can follow the below steps −First of all, create a matrix.Then, use apply function to divide the matrix row values by row median.Create the matrixLet's create a matrix as shown below − Live DemoM
To save a vector in R as CSV file, we can follow the below steps −First of all, create a vector.Then, use write.csv function to save the vector in CSV file.Example 1Let’s create a vector as shown below − Live Demox