Math Problem Statement
salin ulang kodenya
Solution
Certainly! Here is the code transcribed from the image:
rggplot(data=NULL, aes(x=factor(kelas_interval_weibull), y=jumlah_weibull, fill=rentang_weibull)) + geom_bar(stat="identity") + xlab("Kelas Interval") + ylab("Jumlah") + ggtitle("Grafik Frekuensi Batang") + geom_text(aes(y=jumlah_weibull/1.3, label=jumlah_weibull)) + theme(plot.title = element_text(size = 12, face = "bold", colour = "darkblue", vjust=3, hjust=0.5)) + labs(fill="Kelas Interval") + scale_fill_manual(values = c(heat.colors(length(jumlah_weibull)))) y_weibull <- dweibull(x_weibull, shape=3, scale=0.5) plot(x_weibull, y_weibull, col="red") curve(dweibull(x, shape=3, scale=0.5), xlim = c(-1,2), col="blue") curve(dweibull(x, shape=3, scale=0.5), xlim = c(0,1), col="blue", ylim=c(0,10)) curve(dweibull(x, shape=2, scale=0.5), xlim = c(0,1), col="blue", ylim=c(0,10)) curve(dweibull(x, shape=3, scale=1.0), xlim = c(0,1), col="blue", ylim=c(0,10)) curve(dweibull(x, shape=3, scale=2.0), xlim = c(0,1), col="orange", add=TRUE, ylim=c(0,10)) curve(dweibull(x, shape=3, scale=3.0), xlim = c(0,1), col="orange", add=TRUE, ylim=c(0,10)) curve(dweibull(x, shape=3, scale=5.0), xlim = c(0,1), col="orange", add=TRUE, ylim=c(0,10)) curve(dweibull(x, shape=5, scale=1.0), xlim = c(0,1), col="green", add=TRUE, ylim=c(0,10)) curve(dweibull(x, shape=5, scale=2.0), xlim = c(0,1), col="green", add=TRUE, ylim=c(0,10)) curve(dweibull(x, shape=5, scale=3.0), xlim = c(0,1), col="green", add=TRUE, ylim=c(0,10)) curve(dweibull(x, shape=5, scale=5.0), xlim = c(0,1), col="green", add=TRUE, ylim=c(0,10)) curve(dweibull(x, shape=3, scale=0.5), xlim = c(0,3), col="blue", ylim=c(0,3)) curve(dweibull(x, shape=3, scale=1.0), xlim = c(0,3), col="blue", ylim=c(0,3)) curve(dweibull(x, shape=3, scale=2.0), xlim = c(0,3), col="blue", add=TRUE, ylim=c(0,3)) curve(dweibull(x, shape=3, scale=3.0), xlim = c(0,3), col="orange", add=TRUE, ylim=c(0,3)) curve(dweibull(x, shape=3, scale=5.0), xlim = c(0,3), col="orange", add=TRUE, ylim=c(0,3)) curve(dweibull(x, shape=5, scale=1.0), xlim = c(0,3), col="green", add=TRUE, ylim=c(0,3)) curve(dweibull(x, shape=5, scale=2.0), xlim = c(0,3), col="green", add=TRUE, ylim=c(0,3)) curve(dweibull(x, shape=5, scale=3.0), xlim = c(0,3), col="green", add=TRUE, ylim=c(0,3)) curve(dweibull(x, shape=5, scale=5.0), xlim = c(0,3), col="green", add=TRUE, ylim=c(0,3))
Do you want details or have any questions? Here are five related questions to expand on this information:
- What is the purpose of using
dweibull
in this code? - How does changing the
shape
andscale
parameters affect the Weibull distribution? - Can you explain the significance of
geom_text
in the ggplot code? - What does the
scale_fill_manual
function do in this ggplot setup? - How would you modify the code to plot the distributions in a single subplot instead of multiple ones?
Tip: When working with multiple curves on the same plot, using distinct colors and adding a legend can help in differentiating the curves more clearly.
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Math Problem Analysis
Mathematical Concepts
Probability Distributions
Weibull Distribution
Data Visualization
Formulas
Weibull Probability Density Function: f(x; k, λ) = (k/λ) * (x/λ)^(k-1) * exp(-(x/λ)^k)
Theorems
Weibull Distribution Properties
Suitable Grade Level
Undergraduate Level
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