用R写代码 library fpp3 使用aus_accommodation数据集,首先计算CPI调整后的收入,并绘制出每个州的结果,然后对于每个州,拟合一个动态回归模型的消费物价指数调整的收入与季节性虚拟变量,一个分段线性时间趋势与一个节点在2008年Q1的ARIMA误差。用R写成代码并展示代码
时间: 2023-03-15 07:15:10 浏览: 79
我可以为您提供参考代码:
library(fpp3)
aus_accommodation <- window(aus_accommodation, start = 2009)
# Calculate CPI-adjusted income
aus_accommodation$cpi_adj_income <- aus_accommodation$income/aus_accommodation$cpi# Plot results for each state
aus_accommodation %>%
group_by(state) %>%
ggplot(aes(x = date, y = cpi_adj_income)) +
geom_line() +
facet_wrap(~state)# Fit dynamic regression models for each state's CPI-adjusted income
aus_accommodation %>%
group_by(state) %>%
tslm(cpi_adj_income ~ trend + season +
ss(date, 1, 1) + arima(date, order = c(0,1,1)))
相关问题
用R写代码 library fpp3 使用aus_accommodation数据集,对于每个州,拟合一个动态回归模型的消费物价指数调整的收入与季节性虚拟变量,一个分段线性时间趋势与一个节点在2008年Q1的ARIMA误差。用R写成代码并展示代码
library(fpp3)# Load data
data <- aus_accommodation# Fit a dynamic regression model
dyn.reg <- dynlm(log(income) ~ log(price) + season + trend + arima_error (1,1,1) * L(2008,1), data = data)# Show the code
dyn.reg
springboot怎么初始化多个hutool布隆过滤器并使用不同初始化后的布隆过滤器
在SpringBoot中初始化多个Hutool布隆过滤器可以通过创建多个Bean来实现。以下是示例代码:
1. 首先,在application.yml文件中添加布隆过滤器的配置:
```
spring:
hutool:
bloom-filter:
filters:
filter1:
expectedInsertions: 10000
fpp: 0.01
filter2:
expectedInsertions: 5000
fpp: 0.02
```
2. 然后,在SpringBoot的配置类中创建两个Bean,分别用于初始化两个布隆过滤器:
```
@Configuration
public class BloomFilterConfig {
@Bean(name = "filter1")
public BloomFilter<String> filter1() {
BloomFilterSetting setting = SpringUtil.getBean("filter1", BloomFilterSetting.class);
return new BloomFilter<>(setting.getExpectedInsertions(), setting.getFpp());
}
@Bean(name = "filter2")
public BloomFilter<String> filter2() {
BloomFilterSetting setting = SpringUtil.getBean("filter2", BloomFilterSetting.class);
return new BloomFilter<>(setting.getExpectedInsertions(), setting.getFpp());
}
}
```
3. 最后,在需要使用布隆过滤器的地方,注入对应的Bean即可:
```
@Service
public class UserServiceImpl implements UserService {
@Autowired
@Qualifier("filter1")
private BloomFilter<String> filter1;
@Autowired
@Qualifier("filter2")
private BloomFilter<String> filter2;
@Override
public boolean containsName(String name) {
return filter1.contains(name) || filter2.contains(name);
}
// ...
}
```
以上代码中,我们通过`@Qualifier`注解指定了要注入的Bean的名称,从而使用不同初始化后的布隆过滤器。