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Articles by Nizamuddin Siddiqui
Page 17 of 196
How to expand a data frame rows by their index position in R?
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 −x1
Read MoreHow to find the row and column index for upper triangular matrix elements in R?
To find the row and column index for upper triangular matrix elements in R, we can follow the below steps −First of all, create a matrix.Then, use which function with upper.tri function to find the row and column index for upper triangular matrix elements.After, that attach the values corresponding to each index using cbind function.Create the matrixLet’s create a matrix as shown below −M
Read MoreHow to find the frequency of continuously repeated string values in an R data frame column?
To find the frequency of continuously repeated string values in an R data frame column, we can follow the below steps −First of all, create a data frame with a string column.Then, use sequence function and rleid function after converting the data frame into data.table object to find the frequency of continuously repeated string values in data frame column.Create the data frameLet's create a data frame as shown below −x
Read MoreHow to find the proportion using normal distribution in R?
To find the proportion using normal distribution in R, we can use pnorm function where we can provide the mean and standard deviation of population along with sample, also the tail position can be set by using lower.tail argument to TRUE or FALSE. Check out the below examples to understand how it can be done.Example 1Finding the proportion of values above 55 when sample mean is 50 and standard deviation is 8 −pnorm(55, mean=50, sd=8, lower.tail=FALSE)Output[1] 0.2659855Example 2Finding the proportion of values above 60 when sample mean is 50 and standard deviation is 8 −pnorm(60, mean=50, sd=8, lower.tail=FALSE)Output[1] 0.1056498Example 3Finding ...
Read MoreHow to check if a character column only contains alphabets in R data frame?
To check if a character column only contains alphabets in R data frame, we can follow the below steps −First of all, create a data frame with a character column.Then, use grepl function to check if all the values in the column contains only alphabets.Example 1Let's create a data frame as shown below −x
Read MoreHow to create a subset of an R data frame based on multiple columns?
To create a subset of an R data frame based on multiple columns, we can follow the below steps −First of all, create a data frame.Then, use single square brackets to subset the data frame based on multiple columns.Create the data frameLet's create a data frame as shown below −x1
Read MoreHow to extract the p-value from t test in R?
To extract the p-value from t test in R, we can follow the below steps −First of all, create a data frame with numerical column or a numerical vector.Then, use t.test function to perform the test and put $p.value at the end to extract the p-value from the test output.Example1Create the data frameLet's create a data frame as shown below −x
Read MoreHow to add regression residuals to data frame in R?
To add regression residuals to data frame in R, we can follow the below steps −First of all, create a data frame.Then, use lm function to create the regression model and find the residuals using resid function and adding them to the data frame with $ operator.Create the data frameLet's create a data frame as shown below −x
Read MoreHow to convert data frame values to their rank in R?
To convert data frame values to their rank in R, we can follow the below steps −First of all, create a data frame.Then, find the rank of each value using rank function with lapply.Create the data frameLet's create a data frame as shown below −> x1 y1 df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) − x1 y1 1 -0.9045608 1.95315551 2 -1.6222122 -1.19880638 3 0.8618855 -0.33643175 4 -0.3547085 -0.18097356 5 -0.3043621 -0.60342210 6 0.5606001 -0.83618995 7 -1.1752752 -0.46651702 ...
Read MoreHow to find the critical value of F for regression anova in R?
To find the critical value of F for regression anova in R, we can follow the below steps −First of all, create a data frame.Then, create the regression model.After that, find the critical value of F statistic using qf function.Create the data frameLet's create a data frame as shown below −> x y df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) − x y 1 5 5 2 0 9 3 1 3 4 3 5 5 2 5 6 2 4 7 3 6 8 4 6 9 ...
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