研究室内で行ったR講習会のプレゼンファイル

1. R
(NetCDF)
R
Takayuki NUIMURA
30th Nov. 2011
Takayuki NUIMURA R

2. R
(NetCDF)
Outline
1 R
2
3
4 (NetCDF)
Takayuki NUIMURA R

3. R
(NetCDF)
R
Takayuki NUIMURA R

4. R
(NetCDF)
R
R
Windows R
Linux R ( )
R
> q()
# No OK
Takayuki NUIMURA R

5. R
(NetCDF)
>2+3
[1] 5
>2ˆ8
[1] 256
> temp.dc <- 10
> temp.dc
[1] 10
> temp.df <- 9 / 5 * temp.dc + 32
> temp.df
[1] 50
Takayuki NUIMURA R

6. R
(NetCDF)
(plot )
1
> temp <- c(10, 20, 15, 25, 20, 20)
> plot(temp)
25
20
temp
15
10
1 2 3 4 5 6
Index
Takayuki NUIMURA R

7. R
(NetCDF)
(plot )
2
> year <- c(2000, 2004, 2005, 2007, 2010, 2011)
> plot(year, temp)
25
20
temp
15
10
2000 2002 2004 2006 2008 2010
year
Takayuki NUIMURA R

8. R
(NetCDF)
(plot )
2
> year <- c(2000, 2004, 2005, 2007, 2010, 2011)
> plot(year, temp, type=“l”, col=“red”, xlim=c(1990, 2020),
ylim=c(0, 30))
30
25
20
temp
15
10
5
0
1990 1995 2000 2005 2010 2015 2020
year
Takayuki NUIMURA R

9. R
(NetCDF)
(histogram )
> hist(temp)
Histogram of temp
3.0
2.5
2.0
Frequency
1.5
1.0
0.5
0.0
10 15 20 25
temp
Takayuki NUIMURA R

10. R
(NetCDF)
(histogram )
> hist(rnorm(10000))
Histogram of rnorm(10000)
1500
Frequency
1000
500
0
−4 −2 0 2 4
rnorm(10000)
Takayuki NUIMURA R

11. R
(NetCDF)
(histogram )
> hist(rnorm(10000), col=“lightblue”, breaks=100)
Histogram of rnorm(10000)
400
300
Frequency
200
100
0
−2 0 2 4
rnorm(10000)
Takayuki NUIMURA R

12. R
(NetCDF)
R
xls csv
csv
txt csv
dbf GIS
GeoTiff
Shapefile GIS
NetCDF
Takayuki NUIMURA R

13. R
(NetCDF)
CSV
# Windows: C r_lecture
> setwd(“C:/r_lecture”)
# Ubuntu: /home/username/r_lecture
> setwd(“/home/username/r_lecture”)
read.csv
# (2001–2010)
> temp <- read.csv(“nagoya_temp.csv”)
Takayuki NUIMURA R

14. R
(NetCDF)
CSV
matrix 2
> temp.matrix <- matrix(temp[,2], 10, 12, byrow=T)
# dim
> dim(temp.matrix)
[1] 10 12
Takayuki NUIMURA R

15. R
(NetCDF)
CSV
2
#
> colnames(temp.matrix) <- 1:12
#
> rownames(temp.matrix) <- 2001:2010
2 CSV
> write.csv(temp.matrix, “temp_matrix.csv”)
Takayuki NUIMURA R

16. R
(NetCDF)
NetCDF
RNetCDF
#
> library(RNetCDF)
# 5◦
# 1850 Jan.–2011 Oct.
> nc <- open.nc(“CRUTEM3.nc”)
> nc.data <- var.get.nc(nc, “temp”)
# dim
> dim(nc.data)
[1] 72 36 1942
(W180⇒E180)
(S90⇒N90) (1850 160 ×12 + 10)
Takayuki NUIMURA R

17. R
(NetCDF)
2
apply
#
> apply(temp.matrix, 1, mean)
#
> apply(temp.matrix, 2, mean)
mean sum max min sd summary
Takayuki NUIMURA R

18. R
(NetCDF)
t
t.test
# 2001 2010
> t.test(temp.matrix[1,], temp.matrix[10,])
t = -0.1723, df = 22, p-value < 0.8648
# 2001 2010
# 2001–2010 1 2
> t.test(temp.matrix[,1], temp.matrix[,2])
t = -3.1955, df = 15.935, p-value < 0.005654
#1 2
Takayuki NUIMURA R

19. R
(NetCDF)
cor.test
# 2001 2010
> cor.test(temp.matrix[1,], temp.matrix[10,])
t = 22.804, df = 10, p-value < 5.93e-10
cor 0.9905215
# 0.99
Takayuki NUIMURA R

20. R
(NetCDF)
Download
Download
Download
Download
Takayuki NUIMURA R

21. R
(NetCDF)
#2
# temp.matrix 2003–2006
> temp.matrix[3:6,]
# 6–9
> temp.matrix[3:6, 6:9]
3 (x, y, time)
matrix[x ,y , time ]
Takayuki NUIMURA R

22. R
(NetCDF)
meanRange.r
meanRange.r
1 (1850–2011)
2
3 NetCDF
4 JJAS
5
Download
Takayuki NUIMURA R

23. R
(NetCDF)
corGlobal.r
1 (1850–2011)
2
3 NetCDF
4 JJAS
5 (CSV)
6
7
Download
Takayuki NUIMURA R

24. R
(NetCDF)
50
0
−50
−150 −100 −50 0 50 100 150
Takayuki NUIMURA R