Nizamuddin Siddiqui

Nizamuddin Siddiqui

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Articles by Nizamuddin Siddiqui

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How to create a point chart with point size increment based on the position of the point in R?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 332 Views

The cex argument is used to increase or decrease the point size in a point chart created in base R. If we want to create a point chart with points of size in increment manner then we can pass a vector of the same size as the vector for which we want to create the point chart. For example, if we have a vector x that contains 10 elements then cex will be set as cex=1:10.Example1> x plot(x, cex=1:10, xlim=c(1, 12), ylim=c(-2, 12))Output:ExampleLet’s have a look at another example:> y plot(y, cex=1:10, xlim=c(1, 12), ylim=c(-1, 12))Output:

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How to change the resolution of a plot in base R?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 3K+ Views

In base R, we can save a plot as a png and pass the resolution in the same stage. The procedure to do this is creating the png image with resolution with res argument then creating the plot and using dev.off() to create the file. Check out the below examples to understand how it works.Example1> png(file="example1.png",res=100) > plot(1:10) > dev.off()Output:Example2> png(file="example2.png",res=200) > plot(1:10) > dev.off()Output

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How to change legend values in a bar plot created by using ggplot2 in R?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 726 Views

How to change legend values in a bar plot created by using ggplot2 in R?By default, the legend values are taken as the different levels of the categorical variable for which a bar plot is created using ggplot2 package and if we want to change those values then scale_color_manual function of the ggplot2 package can be used where we need to pass the values for color and labels for legend values.ExampleConsider the below data frame:> set.seed(1214) > x1 y1 df1 df1Output x1 y1 1 B 4 2 B 5 3 C 5 4 ...

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How to find the less than probability using normal distribution in R?

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

The less than probability using normal distribution is the cumulative probability which can be found by using cumulative distribution function of the normal distribution. In R, we have pnorm function that directly calculates the less than probability for a normally distributed random variable that takes Z score, mean and standard deviation.Examplespnorm(0.95,1,0) pnorm(0.95,0,1) pnorm(0.10,0,1) pnorm(0.10,1,5) pnorm(0.10,1,50) pnorm(0.10,25,50) pnorm(0.12,25,50) pnorm(0.12,2,0.004) pnorm(0.12,2,0.5) pnorm(1,2,0.5) pnorm(12,20,3) pnorm(12,12,3) pnorm(12,15,3) pnorm(200,15,3) pnorm(200,201,3) pnorm(200,201,5) pnorm(20,25,5)Output[1] 0 [1] 0.8289439 [1] 0.5398278 [1] 0.4285763 [1] 0.4928194 [1] 0.309242 [1] 0.309383 [1] 0 [1] 8.495668e-05 [1] 0.02275013 [1] 0.003830381 [1] 0.5 [1] 0.1586553 [1] 1 [1] 0.3694413 [1] 0.4207403 [1] 0.1586553

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What is the use of type = "h" in base R for plotting a graph?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 3K+ Views

The type = "h" is a graphing argument in base R which is generally used inside a plot function. It helps to generate the vertical lines in the R environment instead of points. For example, if we want to plot values from 1 to 10 then type = "h" will plot the vertical lines starting from X-axis and the upper end of the lines will represent the actual value.Example1> plot(1:10,type="h")Output:Example2> plot(rnorm(10),type="h")Output:

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How to create different Y-axis for group levels using ggplot2 in R?

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

If we have a categorical variable or a group variable then we might want to create a line chart for each of the categories or levels, this will help us to understand the range of multiple levels in a single plot. For this purpose, we can use facet_grid function of ggplot2 package as shown in the below example.ExampleConsider the below data frame:> x y df dfOutput x y 1 C -1.55668689 2 A 2.41399136 3 D -0.78520253 4 A -0.43092594 5 C 1.94379390 6 A ...

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How to convert diagonal elements of a matrix in R into missing values?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 983 Views

First thing we need to understand is diagonal elements are useful only if we have a square matrix, otherwise it would not make sense to set diagonal elements, this is known to almost all mathematicians but some freshman might get confused because we can create diagonal in a non-square matrix which should not be called a diagonal. In R, we can set the diagonal elements of a matrix to missing values/NA by using diag function.Example1> M1 M1Output  [, 1] [, 2] [, 3] [, 4] [1, ] 1   5    9   13 [2, ] 2   6   ...

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How to draw a circle in R?

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

There is no direct function in R to draw a circle but we can make use of plotrix package for this purpose. The plotrix package has a function called draw.cirlce which is can be used to draw a circle but we first need to draw a plot in base R then pass the correct arguments in draw.circle. The first and second arguments of draw.circle takes x and y coordinates, and the third one is for radius, hence these should be properly chosen based on the chart in base R.Loading plotrix package:> library(plotrix)Creating different circles using draw.circle:Example> plot(1:10, type="n") > draw.circle(2, ...

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How to create a new column in an R data frame based on some condition of another column?

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

Sometimes we want to change a column or create a new by using other columns of a data frame in R, this is mostly required when we want to create a categorical column but it can be done for numerical columns as well. For example, we might want to create a column based on salary for which if salaries are greater than the salary in another column then adding those salaries otherwise taking the difference between them. This will help us to understand whether the salaries in two columns are equivalent, lesser, or greater. In R, we can use transform ...

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How to create line chart using ggplot2 in R with 3-sigma limits?

Nizamuddin Siddiqui
Nizamuddin Siddiqui
Updated on 11-Mar-2026 359 Views

To create a line chart with 3-sigma limits using ggplot2, we first need to calculate the limits then the chart can be created. We can use geom_ribbon function of ggplot2 for this purpose where we can pass lower 3-sigma limit for ymin argument in aes and upper 3-sigma limit for ymin argument in aes, also we need to specify alpha so that the color of lines and the limits can be differentiated.ExampleConsider the below data frame:> set.seed(14) > x y df dfOutput x y 1 1 0.6690751 2 2 1.8594771 3 3 ...

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