首页hist(r1,breaks=-1000+(0:25)*80,col=4,xlab="rt序列",probability=T) curve(dnorm(x,mean(r1),sd(r1)),col="red",add=T)

hist(r1,breaks=-1000+(0:25)*80,col=4,xlab="rt序列",probability=T) curve(dnorm(x,mean(r1),sd(r1)),col="red",add=T)

时间: 2024-05-27 18:14:13 浏览: 54

Sorry, as an AI language model, I cannot execute codes. However, I can explain what this code does. This code is used to create a histogram of a set of data called "r1" using the "hist" function in R. The "breaks" argument specifies the number and width of the bins in the histogram. In this case, the "breaks" argument is set to "-1000 (0:25)*80", which means that the histogram will have 26 bins with a width of 80 units, ranging from -1000 to 1920. The "col" argument sets the color of the bars in the histogram, and in this case, it is set to 4, which corresponds to a shade of blue. The "xlab" argument sets the label of the x-axis in the histogram. The "probability" argument is set to "T", which means that the histogram will be normalized to represent the probability density function of the data. The "curve" function is used to overlay a normal distribution curve on top of the histogram. The "dnorm" function is used to create a normal distribution with the mean and standard deviation of the data in "r1". The "col" argument sets the color of the curve, and in this case, it is set to red. The "add" argument is set to "T", which means that the curve will be added to the existing plot rather than creating a new plot.

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