![]() ![]() ![]() 5, n -1)) # Standard deviation ggplot(my_sum) + geom_bar( aes( x=Species, y=mean), stat= "identity", fill= "forestgreen", alpha= 0.5) + geom_errorbar( aes( x=Species, ymin=mean -sd, ymax=mean +sd), width= 0.4, colour= "orange", alpha= 0.9, size= 1.5) + ggtitle( "using standard deviation") # Standard Error ggplot(my_sum) + geom_bar( aes( x=Species, y=mean), stat= "identity", fill= "forestgreen", alpha= 0.5) + geom_errorbar( aes( x=Species, ymin=mean -se, ymax=mean +se), width= 0.4, colour= "orange", alpha= 0.9, size= 1.5) + ggtitle( "using standard error") # Confidence Interval ggplot(my_sum) + geom_bar( aes( x=Species, y=mean), stat= "identity", fill= "forestgreen", alpha= 0.5) + geom_errorbar( aes( x=Species, ymin=mean -ic, ymax=mean +ic), width= 0.4, colour= "orange", alpha= 0.9, size= 1.5) + ggtitle( "using confidence interval") # Load ggplot2 library(ggplot2) library(dplyr) # Data data % select(Species, Sepal.Length) # Calculates mean, sd, se and IC my_sum % group_by(Species) %>% summarise( n= n(), mean= mean(Sepal.Length), sd= sd(Sepal.Length) ) %>% mutate( se=sd / sqrt(n)) %>% mutate( ic=se * qt(( 1 -0.05) / 2 +. Understand how they are calculated, since they give very different Sometimes without even specifying which one is used. Three different types of values are commonly used for error bars, Standard deviation, Standard error or Confidence Interval? Hidden object handles are still valid.# Load ggplot2 library(ggplot2) # create dummy data data <- ame( name=letters, value= sample( seq( 4, 15), 5), sd= c( 1, 0.2, 3, 2, 4) ) # rectangle ggplot(data) + geom_bar( aes( x=name, y=value), stat= "identity", fill= "skyblue", alpha= 0.5) + geom_crossbar( aes( x=name, y=value, ymin=value -sd, ymax=value +sd), width= 0.4, colour= "orange", alpha= 0.9, size= 1.3) # line ggplot(data) + geom_bar( aes( x=name, y=value), stat= "identity", fill= "skyblue", alpha= 0.5) + geom_linerange( aes( x=name, ymin=value -sd, ymax=value +sd), colour= "orange", alpha= 0.9, size= 1.3) # line + dot ggplot(data) + geom_bar( aes( x=name, y=value), stat= "identity", fill= "skyblue", alpha= 0.5) + geom_pointrange( aes( x=name, y=value, ymin=value -sd, ymax=value +sd), colour= "orange", alpha= 0.9, size= 1.3) # horizontal ggplot(data) + geom_bar( aes( x=name, y=value), stat= "identity", fill= "skyblue", alpha= 0.5) + geom_errorbar( aes( x=name, ymin=value -sd, ymax=value +sd), width= 0.4, colour= "orange", alpha= 0.9, size= 1.3) + coord_flip() Get, findobj, gca, gcf, gco, newplot, cla, clf, and close functions. ![]() If the object is not listed in the Children property of the parent, thenįunctions that obtain object handles by searching the object hierarchy or querying This optionīlocks access to the object at the command line, but permits ![]() This option is useful for preventing unintendedįrom within callbacks or functions invoked by callbacks, but notįrom within functions invoked from the command line. Otherwise, use the gcbo function to access the object.Īll times. If you specify this property as a function handle or cell array, you can access the object that is being created using the first argument of the callback function. Setting the CreateFcn property on an existing component has no effect. If you do not specify the CreateFcn property, then MATLAB executes a default creation function. MATLAB initializes all property values before executing the CreateFcn callback. This property specifies a callback function to execute when MATLAB creates the object. MATLAB evaluates this expression in the base workspace.įor more information about specifying a callback as a function handle, cell array, or character vector, see Create Callbacks for Graphics Objects. Subsequent elements in the cell array are the arguments to pass to the callback function.Ĭharacter vector containing a valid MATLAB expression (not recommended). UIContextMenu property is not recommendedĬell array in which the first element is a function handle. ![]()
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