Programming Articles - Page 1127 of 3363

To create plotly bar chart with negative values in R, we can follow the below steps −First of all, create a data frame.Then, create the bar chart using plotly with horizontal orientation.Create the data frameLet's create a data frame as shown below − Live DemoGroup

To subset an R data frame with condition based on only one value from categorical column, we can follow the below steps −First of all, create a data frame.Then, subset the data frame with condition using filter function of dplyr package.Create the data frameLet's create a data frame as shown below − Live DemoClass

To create groupwise correlation matrix for an R data frame, we can follow the below steps −First of all, create a data frame.Then, find the correlation matrix by splitting the data frame based on categorical column.Create the data frameLet's create a data frame as shown below − Live Demov1

To create a correlation matrix by a categorical column in data.table object in R, we can follow the below steps −First of all, create a data.table object.Then, find the correlation matrix by splitting the object based on categorical column.Create the data.table objectLoading data.table package and creating a data.table object −library(data.table) x

To combine multiple columns into one in R data frame without using column names, we can follow the below steps −First of all, create a data frame.Then, convert the data frame into a single column data frame.Again, convert the data frame into a single column without column names displayed in rows using row.names function.Create the data frameLet's create a data frame as shown below −Example Live Demox

To create the combination of rows in two data frames having same columns in R, we can follow the below steps −First of all, create two data frames.Then, combine the rows in the data frames with expand.grid and cbind with do.call.Create the data framesLet's create a data frame as shown below − Live DemoClass

To remove interaction from regression model in stargazer in R, we can follow the below steps −First of all, create a data frame.Then, create a regression model using stargazer.After that, create the regression model with stargazer without interaction terms.Create the data frameLet's create a data frame as shown below − Live Demox1

To create a bar plot in R filled with color palette in RColorBrewer package, we can follow the below steps −First of all, create a vector.Create the bar plot with color palette in RColorBrewer package.Example 1Let’s create a vector as shown below − Live Demox

The different color palettes can be found by using display.brewer.all() function. Each of the palette has different colors. There are three types of palettes defined with names equential, diverging, and qualitative. They are defined for specific uses as written below −Sequential palettes are suited to ordered data that progress from low to high.Diverging palettes put equal emphasis on mid-range critical values and extremes at both ends of the data range.Qualitative palettes are best suited to representing nominal or categorical data.Find the color palettes in RColorBrewer packageInstalling and Loading RColorBrewer package and finding the different color palettes −install.packages("RColorBrewer") library(RColorBrewer) display.brewer.all()On executing, ... Read More

To manually set the color of each bar in base R bar plot, we can follow the below steps −First of all, create a vector.Then create the bar plot with col argument.Example 1Create the vectorLet’s create a vector as shown below − Live Demox