# This R environment comes with all of CRAN preinstalled, as well as many other helpful packages
# The environment is defined by the kaggle/rstats docker image: https://github.com/kaggle/docker-rstats
# For example, here's several helpful packages to load in 

library(ggplot2) # Data visualization
library(readr) # CSV file I/O, e.g. the read_csv function

# Input data files are available in the "../input/" directory.
# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory

system("ls ../input")

# Any results you write to the current directory are saved as output.
sub = read.csv('../input/sample_submission.csv')
x<-c(4,5,3,2,1)
x<-paste(x,collapse=" ")
print(x)
sub$day=x
head(sub)
write.csv(sub,"v6.csv",row.names=FALSE)