getwd()
X=read.table('cluster.csv')
X=read.table('cluster.csv',sep=",")
dim(X)
X=read.table('cluster.csv',sep=",")
dim(X)
head(X)
X=read.table('cluster.csv')
head(X)
m=lm(V7~.,data=X)
summary(m)
dim(X)
plot(V7~V1,data=X)
plot(V7~V2,data=X)
plot(V7~V3,data=X)
plot(V7~V4,data=X)
plot(V7~V5,data=X)
plot(V7~V6,data=X)
library(MASS)
stepAIC(m)
?stepAIC
m
summary(m)
X=read.table('cluster.csv')
m
m=lm(V7~.,data=X)
summary(m)
X=read.table('cluster.csv')
m=lm(V7~.,data=X)
summary(m)
m=lm(V7~.+I^2,data=X)
m=lm(V7~.^2,data=X)
summary(m)
?read.table
X=read.table('cluster.csv')
X=read.csv('cluster.csv')
header(X)
head(X)
X=read.table('cluster.csv',header=TRUE)
head(X)
m=lm(V7~.^2,data=X)
m=lm(score~.^2,data=X)
summary(m)
head(X)
m=lm(V7~.,data=X)
m=lm(score~.,data=X)
summary(m)
dim(X)
hist(X$V6,braks=50)
hist(X$V7,braks=50)
table(X$V7)
table(X$score)
hist(X$name,braks=50)
table(X$name)
m=lm(score~.,data=X)
summary(m)
m=lm(score~.^2,data=X)
summary(m)
m=lm(score~.,data=X)
summary(m)
X=read.table('cluster.csv')
m=lm(score~.,data=X)
m=lm(V7~.,data=X)
summary(m)
X=read.table('kmeans.csv')
head(X)
X=read.table('cluster.csv',header=TRUE)
head(X)
m=lm(score~.,data=X)
summary(m)
X=read.table('cluster.csv',header=TRUE)
head(X)
head(X)
X=read.table('kmeans.csv',header=TRUE)
head(X)
m=lm(score~.,data=X)
summary(m)
X=read.table('cluster.csv',header=TRUE)
m=lm(score~.,data=X)
head(X)
X=read.table('cluster.csv')
head(X)
X=read.table('cluster.csv')
X=read.table('cluster.csv',header=TRUE)
head(X)
m=lm(score~.,data=X)
summary(m)
X=read.table('cluster.csv',header=TRUE)
head(X)
m=lm(score~.,data=X)
summary(m)
X=read.table('cmar.csv',header=TRUE)
head(X)
X=read.table('cmar.csv',header=TRUE)
head(X)
m=lm(score~.,data=X)
m=lm(score~.,data=X)
table(X$V1)
table(X$V2)
table(X$name)
table(X$attr)
table(X$rule)
table(X$minsup)
X=read.table('cmar.csv',header=TRUE)
table(X$name)
m=lm(score~.,data=X)
summary(m)
X=read.table('cmar.csv',header=TRUE)
X=read.table('cmar.csv',header=TRUE)
table(X$name)
m=lm(score~.,data=X)
summary(m)
plot(score~vm,data=X)
plot(score~name,data=X)
X=read.table('cmar.csv',header=TRUE)
table(X$name)
head(X)
m=lm(score~.,data=X)
summary(m)
m=lm(score~^2,data=X)
m=lm(score~.^2,data=X)
summary(m)
X=read.table('cmar.csv',header=TRUE)
m=lm(score~.,data=X)
summary(m)
202/60
202/60*3000
202/60*3000/60/24
X=read.table('cmar.csv',header=TRUE)
m=lm(score~.,data=X)
!h
head(X)
X=read.table('cmar.csv')
head(X)
m=lm(V7~.,data=X)
summary(m)
X=read.table('cmar.csv')
head(X)
summary(m)
m=lm(V7~.,data=X)
summary(m)
X=read.table('cmar.csv')
head(X)
m=lm(V7~.,data=X)
summary(m)
m=lm(V7~.^2,data=X)
summary(m)
X=read.table('cmar.csv')
head(X)
X=read.table('cmar.csv',header=TRUE)
head(X)
m=lm(score~.,data=X)
summary(m)
540/60/60/24*3000
?read
??read
350/60/60/24*3000
?command
??command
X=read.table('data')
X=read.table('result.csv')
X=read.table('../result.csv')
head(X)
m=lm(V4~.^2,data=X)
summary(m)
m=lm(V4~log(V1),data=X)
summary(m)
m=lm(V4~log(V1),log(V2),V3,data=X)
summary(m)
m=lm(V4~log(V1).log(V2).V3,data=X)
m=lm(V4~log(V1);log(V2);V3,data=X)
m=lm(V4~log(V2),data=X)
summary(m)
m=lm(V4~log(V3),data=X)
m=lm(V4~log(V3+1),data=X)
summary(m)
m=lm(V4~.,data=X)
summary(m)
m=lm(V4~log(V1),data=X)
summary(m)
m=lm(V4~log(V2),data=X)
summary(m)
plot(V4~V1,data=X)
plot(V4~sqrt(V1),data=X)
plot(V4~V1^2,data=X)
plot(V4~V2,data=X)
plot(V4~V2^2,data=X)
plot(V4~V2,data=X)
plot(V4~log(V2),data=X)
plot(V4~log(V1),data=X)
m=lm(V4~log(V2),data=X)
m=lm(V4~(V1,log(V2)),data=X)
m=lm(V4~{V1,log(V2)},data=X)
m=lm(V4~log(V1) + I(log(V2)),data=X)
summary(m)
m=lm(V4~log(V1)),data=X)
m=lm(V4~log(V1),data=X)
summary(m)
m=lm(V4~. + I(log(V2)),data=X)
summary(m)
plot(V4~V3,data=X)
m=lm(V4~. + log(V2),data=X)
summary(m)
m=lm(V4~.,data=X)
summary(m)
m=lm(V4~. + log(V1),data=X)
summary(m)
m=lm(V4~. + log(V1) - V1,data=X)
summary(m)
m=lm(V4~. - V1,data=X)
summary(m)
m=lm(V4~V1,data=X)
summary(m)
m=lm(V4~V1,data=X);summary(m)
m=lm(V4~log(V1),data=X);summary(m)
m=lm(V4~sin(V1),data=X);summary(m)
m=lm(V4~exp(V1),data=X);summary(m)
m=lm(V4~V1^2,data=X);summary(m)
m=lm(V4~V2,data=X);summary(m)
m=lm(V4~log(V2),data=X);summary(m)
m=lm(V4~ln(V2),data=X);summary(m)
m=lm(V4~log(V2),data=X);summary(m)
m=lm(V4~exp(V2),data=X);summary(m)
m=lm(V4~V2,data=X);summary(m)
m=lm(V4~V2^2,data=X);summary(m)
m=lm(V4~sinus(V2),data=X);summary(m)
m=lm(V4~sin(V2),data=X);summary(m)
m=lm(V4~tan(V2),data=X);summary(m)
m=lm(V4~V2^2,data=X);summary(m)
m=lm(V4~V2,data=X);summary(m)
m=lm(V4~V3,data=X);summary(m)
m=lm(V4~V3^2,data=X);summary(m)
m=lm(V4~log(V3),data=X);summary(m)
m=lm(V4~exp(V3),data=X);summary(m)
m=lm(V4~V3,data=X);summary(m)
m=lm(V4~V2+V3,data=X);summary(m)
m=lm(V4~.^2,data=X);summary(m)
m=lm(V4~V2+V3,data=X);summary(m)