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To find the cosine of each value in columns if some columns are categorical in R data frame, we can follow the below steps −First of all, create a data frame.Then, use numcolwise function from plyr package to find the cosine of each value in columns if some columns are categorical.ExampleCreate the data frameLet’s create a data frame as shown below −Level
To create a binary random variable in R with given probability, we can use the rbinom function with sample size argument n, success size argument size, and probability argument prob. To understand, how it can be done check out the below examples.Example 1Create the vector using rbinom function with n = 500, size = 1, and prob = 0.05 as shown below −x1
To find the column median if some columns are categorical in R data frame, we can follow the below steps −First of all, create a data frame.Then, use numcolwise function from plyr package to find the column median if some columns are categorical.Example 1Create the data frameLet’s create a data frame as shown below −Group
A diagonal matrix is a type of square matrix that contains zero at non-diagonal elements starting from left-upper to right-bottom.To convert a single column matrix into a diagonal matrix in R, we can use diag function along with matrix function and use ncol argument where we can put the number of columns equal to the number of values in the single column matrix.Check out the Examples given below to understand how it can be done.Example 1Following snippet creates a sample matrix −M1
To create a replacement column with multiple conditions and NA in R data frame, we can follow the below steps −First of all, create a data frame.Then, use nested ifelse function to create a replacement column with multiple conditions.ExampleCreate the data frameLet’s create a data frame as shown below −x
To find the column standard deviation if some columns are categorical in R data frame, we can follow the below steps −First of all, create a data frame.Then, use numcolwise function from plyr package to find the column standard deviation if some columns are categorical.Example 1Create the data frameLet’s create a data frame as shown below −Group
A diagonal matrix is a type of square matrix that contains zero at non-diagonal elements starting from left-upper to right-bottom. To convert a vector into a diagonal matrix in R, we can use diag function along with matrix function and use ncol argument where we can put the number of columns equal to the number of values in the vector. Check out the Examples given below to understand how it can be done.Example 1Following snippet a sample list −V1
To remove dollar sign in R data frame, we can follow the below steps −First of all, create a data frame.Then, use gsub function along with lapply function to remove dollar sign.ExampleCreate the data frameLet’s create a data frame as shown below −Product
A block is a statement containing its own local data declaration. The concept of a block is originated with ALGOL. The block-structured language permits an array with adjustable length. The main feature of blocks is their bracketing structure (begin and end used in ALGOL) in which they can define their data.Activation Record for Block Structured LanguagesBlock structured language like ALGOL, and PL/I permit adjustable arrays, i.e., of varying length. Therefore, we cannot store irregular size arrays in between activation records. It can allocate the flexible or variable arrays at one corner of the activation record or above the fixed-size data. ... Read More
To find the number of changes when tossing a coin in R, we can follow the below steps −First of all, create a vector using rbinom function.Then, use rle function to find the table of changes.After that, use length in the output of rle.Example 1Create the vectorLet’s create a vector as shown below −x1