Displaying 5 results from an estimated 5 matches for "gwpmax1".
Did you mean:
gwp_max
2009 Aug 10
3
how use cat() function?
...0-3000] NbOfPolicyClass3[> 3000]
No_GWPMax=8 NbpolicyClass1=5 NbpolicyClass2=4 NbpolicyClass3 =3
i have do it like this:!!!
data1 <- read.csv2("c:/Total1.csv",sep=",")
> data2 <- read.csv2("c:/GWPMax1.csv",sep=",")
> M <- merge(data1, data2, by.x = "Policy.Number", by.y = "Policy.Number")
> nrow(data1)
[1] 20
> nrow(M)
[1] 12
> No_GWPMax <- nrow(data1)-nrow(M)
> (NbOfPolicyWithoutGWPMax <- nrow(data1)-nrow(M))
[1] 8
> M$GWP_Max <-...
2009 Aug 10
2
(sans objet)
i have written this in R,
> data1 <- read.csv2("c:/Total1.csv",sep=",")
> data2 <- read.csv2("c:/GWPMax1.csv",sep=",")
> M <- merge(data1, data2, by.x = "Policy.Number", by.y = "Policy.Number")
> nrow(data1)
[1] 20
> nrow(M)
[1] 12
> NbOfPolicyWithoutGWPMax <- nrow(data1)-nrow(M)
> NbOfPolicyWithoutGWPMax
[1] 8
> M$GWP_Max <- as.numeric(as....
2009 Aug 18
1
function merge()
...AXA.Entity Country
1 1060000077 BNL BNL
2 4001023 CH BNL
3 1060000006 UK BNL
4 4001025 CH BNL
5 6.00E+13 USA BNL
6 6100001 UK BNL
7 4001028 USA BNL
> Data2 <- read.csv2("c:/GWPMax1.csv",sep=",")
> (Data2 <- Data2[1:7,1:2])
Policy.Number GWP_Max
1 4001023 500.00
2 4001024 10593.54
3 4001025 700.00
4 4001026 0.00
5 4001027 3621.25
6 4001028 600.00
7 4001029 7588.27
> (m <- merge(Data1,Data2, by....
2009 Aug 18
1
create a table in the console!!
HI
I want to do a table with R (in the console)
GWP_Max NumberOfPolicies
No_GWPMax 8
[0-1000] 4
[1000-3000] 3
[> 3000] 5
i begin by calculate the number of policies in each class :
Data1 <- read.csv2("c:/Total1.csv", sep=",")
> Data2 <- read.csv2("c:/GWPMax1.csv",sep=",")[1:20,1:2]
> M <- merge(Data1,Data2, by.x = "Policy.Number",by.y = "Policy.Number",all.x = TRUE,all.y = TRUE )
> (No_GWPMax<-nrow(M[M[,25]=="NA",]))
[1] 8
> M2<- merge(Data1,Data2, by.x = "Policy.Number",by.y = &q...
2009 Aug 18
1
Tr : create a table in the console!!
...HI
I want to do a table with R (in the console)
GWP_Max NumberOfPolicies
No_GWPMax 8
[0-1000] 4
[1000-3000] 3
[> 3000] 5
i begin by calculate the number of policies in each class :
Data1 <- read.csv2("c:/Total1.csv", sep=",")
> Data2 <- read.csv2("c:/GWPMax1.csv",sep=",")[1:20,1:2]
> M <- merge(Data1,Data2, by.x = "Policy.Number",by.y = "Policy.Number",all.x = TRUE,all.y = TRUE )
> (No_GWPMax<-nrow(M[M[,25]=="NA",]))
[1] 8
> M2<- merge(Data1,Data2, by.x = "Policy.Number",by.y = &q...