First check that your data satisfies the normality assumption. If yes,
then start with the ANOVA test
summary( fit <- aov( genomes ~ clonefed ) )
and *if* you find a significant F-value, you can see which difference is
significant. i.e. post-hoc analysis.
TukeyHSD( fit, "clonefed" )
You can use help("aov") etc to find out more details including
examples.
Regards, Adai
Georgina Sarah Humphreys wrote:> I have a set of data that comprises genome numbers in single eggs from
three different parasite clones - 3D7, HB3, and MIX. I can draw a boxplot of
the genome numbers for each clonefed but how do I carry out a t test or ANOVA to
compare if the means are signifcantly different? (Data is listed below)
>
> Many thanks,
> Georgina Humphreys
>
> clonefed genomes
> HB3 21.3
> HB3 23.5
> HB3 25.9
> 3D7 27.2
> HB3 28.1
> MIX 35.1
> MIX 37.9
> MIX 42.1
> MIX 42.4
> HB3 46.3
> HB3 46.3
> MIX 48.4
> MIX 52.1
> HB3 54.6
> MIX 55.4
> 3D7 57.6
> HB3 58.4
> 3D7 62.1
> MIX 63.6
> MIX 66.5
> 3D7 69.1
> 3D7 76.2
> MIX 77.5
> MIX 80.4
> MIX 85.5
> MIX 85.9
> HB3 96
> HB3 106.3
> 3D7 108.1
> MIX 113.8
> MIX 117.4
> MIX 118
> 3D7 122.8
> 3D7 131.4
> MIX 138.7
> MIX 142.6
> MIX 143
> 3D7 144
> MIX 151.6
> MIX 155.2
> MIX 162.4
> MIX 168.4
> MIX 169.3
> 3D7 172.3
> HB3 173
> HB3 191.9
> MIX 192.7
> HB3 200
> MIX 206.3
> 3D7 210.2
> HB3 223.7
> HB3 223.9
> 3D7 232.1
> HB3 238.6
> MIX 240.8
> 3D7 254.3
> 3D7 257.6
> 3D7 261.8
> 3D7 269.9
> HB3 277
> MIX 289.1
> MIX 293.2
> MIX 295.2
> MIX 295.7
> MIX 310.4
> 3D7 311.9
> 3D7 311.9
> MIX 313.1
> MIX 317.8
> MIX 332.2
> 3D7 334.9
> 3D7 338.2
> MIX 340
> MIX 360.5
> 3D7 372.8
> 3D7 376.6
> HB3 390.3
> MIX 419.1
> 3D7 420
> MIX 427.4
> MIX 443
> MIX 449.7
> MIX 452.8
> MIX 501.4
> 3D7 502.9
> 3D7 505.5
> 3D7 506.3
> 3D7 529
> MIX 534.4
> MIX 540.6
> MIX 542
> 3D7 545.2
> MIX 547.2
> MIX 554.2
> MIX 556.5
> 3D7 564.9
> 3D7 575.1
> 3D7 580.6
> MIX 591.5
> 3D7 655.5
> 3D7 666.1
> 3D7 667.2
> 3D7 699
> 3D7 741.2
> 3D7 744.8
> 3D7 752.2
> MIX 795.9
> 3D7 810.9
> HB3 816.4
> MIX 849.2
> 3D7 852.9
> 3D7 875.4
> 3D7 891.3
> MIX 906.5
> MIX 922.3
> MIX 949.6
> MIX 986.1
> MIX 994.3
> MIX 1005.3
> MIX 1061.3
> MIX 1159.5
> 3D7 1163.2
> MIX 1177.5
> 3D7 1211.3
> 3D7 1249.7
> 3D7 1318.3
> MIX 1579.3
> MIX 1585.2
> MIX 1590.3
> MIX 1788.7
> MIX 2012.9
> 3D7 2067.4
>
> PhD Student
> Division of Infection and Immunity
> B5-29, GBRC
> 120 University Place
> Glasgow
> G12 8TA
> Tel: 0141 330 5650
>
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