search for: w100s

...ata, code, and results I used and got are as followed: (You can find that the correlations of the factor and the numeric variables changed, before and after the levels() was performed.) > d<-read.delim("All.txt",header=T) > d species population conlen tscale fscale tseen w100s nfsee 1 Py YXPy01 8.60 153 69 111 1.680851 94 2 Py YXPy01 8.10 173 74 139 1.848485 133 3 Py YLPy01 6.50 138 58 99 1.520833 48 4 Py YLPy01 5.90 153 67 118 1.355140 107 5 Py KMPy01 6.10 113...

...up variable: species and popluation, and numeric variable: conlen) is as followed: pcon<-ggplot(All, aes(population,conlen)) pcon+geom_boxplot(aes(fill=species)) Thank you in advance. Regards Mao J-F a part of my dataframe: All species population conlen tscale fscale tseen w100s nfsee Py YXPy01 8.6 153 69 111 1.680851064 94 Py YXPy01 8.1 173 74 139 1.848484849 133 Py YLPy01 6.5 138 58 99 1.520833333 48 Py YLPy01 5.9 153 67 118 1.355140187 107 Py KMPy01 6.1 113 48 75 1.4705...