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一直从事气象预报、服务建模实践应用。注重气象物理场、实况场、地理信息、本体知识库、分布式气象内容管理系统建立。对Barnes客观分析, 小波,计算神经网络、信任传播、贝叶斯推理、专家系统、网络本体语言有一定体会。一直使用Java、Delphi、Prolog、SQL编程。

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R 计算rmse

2016-11-01 21:51:35| 分类： R | 标签： |举报 |字号大中小订阅

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library(zoo)
library(hydroGOF)
library(termstrc)

filePathReal <-"/data/calf/csv/eleh/csvreal/2016/20161028/201610280100.csv"
filePathFit <-"/data/calf/csv/eleh/csvfit/2016/20161028/201610280100.csv"

data1 <- data.frame(read.csv(filePathReal,header = F))
head(data1)
length(data1[,2])

# data1<-read.csv(filePathReal,header = F)
data2<-read.csv(filePathFit,header = F)
names(data1)[names(data1)=='V8'] ='real'
names(data2)[names(data2)=='V8'] ='fit'
res<-merge(data1,data2,by.x = 'V2',by.y = 'V2')
res0 <- subset(res, res$V2 <= '60000')
length(res0[,1])
res1 <- subset(res0, res0$real != 'NaN')
length(res1[,1])
# a<-result[c('real')]
# b<-result[c('fit')]
mse <- rmse(res1[c('real')],res1[c('fit')])

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