Example simulated time courses from a stochastic Lotka–Volterra model
例如模拟时间课程从随机Lotka-Volterra模型
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Collection of simulated time courses from a stochastic Lotka–Volterra model. LVperfect is direct output from a Gillespie simulation. LVprey is the prey component. LVnoise10 has Gaussian noise with standard deviation 10 added. LVnoise30 has Gaussian noise with standard deviation 30 added. LVpreyNoise10 is the prey component with 10 SD noise added. LVnoise3010 has Gaussian noise added. The noise added to the prey component has standard deviation 30 and the noise added to the predator component has standard deviation 10. LVnoise10scale10 has Gaussian noise with standard deviation 10 added, and is then rescaled by a factor of 10 to mimic a scenario of an uncalibrated measurement scale. LVirregular is direct output from a Gillespie simulator, but on an irregular time grid. LVirregularNoise10 is output on an irregular time grid with Gaussian noise of standard deviation 10 added.
从随机Lotka-Volterra模型的模拟时间课程的集合。 LVperfect是直接从吉莱斯皮模拟的输出。 LVprey是猎物组成部分。 LVnoise10高斯噪声标准差10。 LVnoise30与标准差30的高斯噪声。 LVpreyNoise10是10 SD噪音的猎物组成部分。 LVnoise3010高斯噪声。噪声叠加到的猎物组件,标准差30,增加的噪声捕食者组件的标准差10。 LVnoise10scale10具有与标准偏差10加入的高斯噪声,然后被重新调节由一个因子10来模仿一个场景的未校准的测量尺度。 LVirregular是直接的从吉莱斯皮模拟器输出,但在不规则的时间格。 LVirregularNoise10是一个不规则的网格,添加高斯噪声标准差10的输出。
用法----------Usage----------
data(LVdata)
格式----------Format----------
All datasets beginning LVirregular are R matrices such as output by simTimes, and the rest are R ts objects
的所有数据集开始LVirregularR矩阵,如输出的simTimes,其余的都是Rts对象