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library(dplyr)
## 
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
## 
##     filter, lag
## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union
#read in files
myChild <- read.csv('ChildSpecies.csv',colClasses=c('character','numeric'))
myAdult <- read.csv('AdultSpecies.csv',colClasses=c('character','numeric'))

#Get top 5
myChild %>% top_n(5)
## Selecting by Count
##                           Species Count
## 1    Faecalibacterium prausnitzii  1153
## 2 Ruthenibacterium lactatiformans   380
## 3   Anaerocolumna cellulosilytica   294
## 4            Clostridium septicum   335
## 5                 Prevotella oris   504
myAdult %>% top_n(5)
## Selecting by Count
##                        Species Count
## 1           Bacteroides caccae  6268
## 2         Phocaeicola vulgatus  2959
## 3 Faecalibacterium prausnitzii  1324
## 4     Oscillibacter sp. NSJ-62   708
## 5      Akkermansia muciniphila  3060