In [6]:

    

# Import data wrangling R Package
library(dplyr)

irisiris %>%
 group_by(Species) %>%
 summarise(Sepal.Width.Avg = mean(Sepal.Width)) %>%
 arrange(Sepal.Width.Avg)
iris %>%
 group_by(Species) %>%
 summarise(Sepal.Width.Avg = mean(Sepal.Width)) %>%
 arrange(Sepal.Width.Avg)


    

    




Error in eval(expr, envir, enclos): Objekt 'irisiris' nicht gefunden
Traceback:

1. irisiris %>% group_by(Species) %>% summarise(Sepal.Width.Avg = mean(Sepal.Width)) %>% 
 .     arrange(Sepal.Width.Avg)
2. eval(lhs, parent, parent)
3. eval(expr, envir, enclos)

In [7]:

    

iris %>%
 group_by(Species) %>%
 summarise(Sepal.Width.Avg = mean(Sepal.Width)) %>%
 arrange(Sepal.Width.Avg)


    

    






Species
Sepal.Width.Avg

	
versicolor
2.770     
	
virginica 
2.974     
	
setosa    
3.428     

In [8]:

    

library(ggplot2)


    

In [9]:

    

ggplot(data=iris, aes(x=Sepal.Length, y=Sepal.Width, color=Species)) + geom_point(size=3)


    

In [25]:

    

install.packages("meta", repos = "http://cran.us.r-project.org")
#install.packages("metafor", "/home/user/anaconda3/lib/R/library")


    

    




Installing package into 'C:/Users/tschi/Documents/R/win-library/3.3'
(as 'lib' is unspecified)






    




package 'meta' successfully unpacked and MD5 sums checked

The downloaded binary packages are in
	C:\Users\tschi\AppData\Local\Temp\Rtmpeo5L1a\downloaded_packages

In [24]:

    

library(meta)
m <- metacount(Ne, Me, Se, Nc, Mc, Sc, studlab=paste(author, year), data=data1)
forest(m, xLab="Maximum % fall in FEV1")


    

    




Error in library(meta): there is no package called 'meta'
Traceback:

1. library(meta)
2. stop(txt, domain = NA)

In [ ]: