Create Bar Plot of One Column in an R Data Frame Using ggplot2

Nizamuddin Siddiqui
Updated on 08-Nov-2021 08:21:41

3K+ Views

To create bar plot of one column in an R data frame using ggplot2, we can use rownames of the data frame as x variable in aes.For Example, if we have a data frame called df that contains two columns say X and Y and we want to create the bar plot of values in Y then we can use the below mentioned command −ggplot(df,aes(rownames(df),Y))+geom_bar(stat="identity")ExampleFollowing snippet creates a sample data frame −x1

Display Infinity and Minus Infinity Symbols in Base R Plot

Nizamuddin Siddiqui
Updated on 08-Nov-2021 08:18:49

299 Views

To display infinity and minus infinity symbol in one base R plot, we can use text function and expression function. Inside expression function we can put infinity word for the display of infinity and infinity word with minus sign for the display of minus infinity.Check out the below Examples to understand how it can be done.Example 1To display infinity and minus infinity symbol in one base R plot use the following code −plot(1:10, type="n") text(c(1, 5), expression(-infinity, infinity))OutputIf you execute the above given snippet, it generates the following Output −Example 2To display infinity and minus infinity symbol in one base ... Read More

Display Infinity Symbol in Base R Plot

Nizamuddin Siddiqui
Updated on 08-Nov-2021 08:15:09

1K+ Views

To display infinity symbol in base R plot, we can use text function and expression function. Inside expression function we can put infinity word for the display of infinity. For Example, if we want to display infinity at position X=2 and Y=4 then we can use the below mentioned command −text(2, 4, expression(infinity))Example 1To display infinity symbol in base R plot, use the snippet given below −plot(1:10, type="n") text(5, 5, expression(infinity))OutputIf you execute the above given snippet, it generates the following Output −Example 2To display infinity symbol in base R plot, use the snippet given below −plot(1:10, type="n") text(5, 5, ... Read More

Subtract All Values in a Vector from Another Vector in R

Nizamuddin Siddiqui
Updated on 08-Nov-2021 08:10:30

4K+ Views

To subtract all values in a vector from all values in another vector in R, we can use sapply function with subtraction sign.For Example, if we have two vectors say X and Y and we want to subtract all values in Y from all values in X then we can use the command given below −sapply(X,"-",Y)Example 1Following snippet creates a sample data frame −x1

Sum of Corresponding Elements in All Matrices Stored in a List in R

Nizamuddin Siddiqui
Updated on 08-Nov-2021 07:54:36

324 Views

To find the sum of corresponding elements in all matrix’s stored in a list in R, we can use Reduce function with plus sign. For Example, if we have a list called LIST that contains multiple matrices and we want to find the sum of corresponding elements then we can use the command given below −Reduce("+",LIST)Check out the below Examples to understand how it works.Example 1To find the sum of corresponding elements in all matrix’s stored in a list in R, use the following snippet −List

Find Sum of All Array Elements in R

Nizamuddin Siddiqui
Updated on 08-Nov-2021 07:46:54

3K+ Views

To find the sum of all array elements in R, we can use Reduce function with plus sign. For Example, if we have an array called ARRAY and we want to find the sum of all values in this array then we can use the command Reduce("+",ARRAY).Check out the below Examples to understand how it works.Example 1To find the sum of all array elements in R use the snippet given below −Array1

Extract Data Frame Column Values as Vector by Matching a Vector in R

Nizamuddin Siddiqui
Updated on 08-Nov-2021 07:39:56

1K+ Views

To extract a data frame column values as a vector by matching a vector in R, we can use subsetting with %in% operator.For Example, if we have a data frame called df having a column say C and a vector V and we want to extract values in C if they match with V then we can use the command given below −df[df$C %in% V,"C"]Example 1Following snippet creates a sample data frame and vector −x1

Representation of Fixed Length and Variable Length Array in Symbol Table

Ginni
Updated on 08-Nov-2021 04:37:11

1K+ Views

Symbol Table is a data structure that supports an effective and efficient way of storing data about various names occurring in the source code. These names are used in the source code to identify the different program elements, like a variable, constants, procedures, and the labels of statements.The symbol table is searched each time a name is encountered in the source text. When a new name or new data about an existing name is found, the content of the symbol table modifies. Thus, the symbol table should have an effective structure for creating the data held in the table also ... Read More

Compute Sine of Tensor Elements in PyTorch

Shahid Akhtar Khan
Updated on 06-Nov-2021 10:15:17

546 Views

To compute the sine of elements of a tensor, we use the torch.sin() method. It returns a new tensor with the sine values of the elements of the original input tensor. It takes a tensor as the input parameter and outputs a tensor.StepsImport the required library. In all the following Python examples, the required Python library is torch. Make sure you have already installed it.Create a tensor and print it.Compute torch.sin(input). It takes input, a tensor as input parameter, and returns a new tensor with the sine values of elements of the input.Print the tensor with the sine values of ... Read More

Compare Two Tensors in PyTorch

Shahid Akhtar Khan
Updated on 06-Nov-2021 10:13:06

11K+ Views

To compare two tensors element-wise in PyTorch, we use the torch.eq() method. It compares the corresponding elements and returns "True" if the two elements are same, else it returns "False". We can compare two tensors with same or different dimensions, but the size of both the tensors must match at non-singleton dimension.StepsImport the required library. In all the following Python examples, the required Python library is torch. Make sure you have already installed it.Create a PyTorch tensor and print it.Compute torch.eq(input1, input2). It returns a tensor of "True" and/or "False". It compares the tensor element-wise, and returns True if the corresponding ... Read More

Advertisements