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How to add a regression line to a plot in base R if intercept and slope are given?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 2K+ Views

To add a regression line to a plot in base R if intercept and slope are given, we can follow the below steps −First of all, create two vectors and the scatterplot between them.Then, use abline function to create the regression line with intercept and slope given by a and b respectively.Create the vectors and scatterplotUse plot functions to create scatterplot between two random vectors x and y −> x y plot(x, y)OutputAdd regression line with given intercept and slopeExampleUsing abline function to add the regression line to the scatterplot with given intercept a = 0.51 and slope = -1.05 ...

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How to create an ID column for the combination of values in multiple columns in R data frame?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 1K+ Views

To create an ID column for the combination of values in multiple columns in R data frame, we can follow the below steps −First of all, create a data frame.Then, create an ID column using as.numeric, as.factor and with function for the combination of values in columns of the data frame.Create the data frameLet's create a data frame as shown below −> x1 x2 df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) −  x1 x2 1  0  1 2  0  1 3  0  1 4  2  2 5  4 ...

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How to check whether the difference between previous and current value in a column of an R data frame is 1?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 462 Views

To check whether the difference between previous and current value in a column of an R data frame is 1, we can follow the below steps −First of all, create a data frame.Then, create a custom function for the difference between previous and current value.Now, use the function to check the difference.Example1Create the data frameLet's create a data frame as shown below −> x df1 df1On executing, the above script generates the below output(this output will vary on your system due to randomization) −    x 1   1 2   2 3   3 4   4 5   ...

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How to create a histogram with Y-axis values as count using ggplot2 in R?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 4K+ Views

To create a histogram with Y-axis values as count using ggplot2 in R, we can follow the below steps −First of all, create a data frame.Then, use geom_histogram function of ggplot2 package with aes to create the histogram with Y-axis values as count.Create the data frameLet's create a data frame as shown below −> df head(df, 20)On executing, the above script generates the below output(this output will vary on your system due to randomization) −          x 1    -0.008015477 2    -0.981227322 3     1.144050354 4     0.207177231 5     0.179782914 6   ...

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How to find the row and column index for upper triangular matrix elements in R?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 669 Views

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

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How to find the frequency of continuously repeated string values in an R data frame column?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 273 Views

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

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How to find the proportion using normal distribution in R?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 7K+ Views

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 ...

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How to check if a character column only contains alphabets in R data frame?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 973 Views

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

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How to create a subset of an R data frame based on multiple columns?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 1K+ Views

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

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How to extract the p-value from t test in R?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 18K+ Views

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

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