Hello R users,
I have a data set which is a set of lengths and types of objects. I want
to calculate the mean length for each type of object as opposed to the
mean of all the objects in the set.
This is in order to make a comparison between the lengths of each type
of objects and the number of those objects.
> x
Chromosome Begin End Type Class Norm Length
458327 Y 1 318 L2_Plat1b LINE/L2 5.758902 317
458330 Y 439 673 L2_Plat1i LINE/L2 5.455321 234
458331 Y 2 309 L2_Plat1i LINE/L2 5.726848 307
458332 Y 1746 2232 L2_Plat1d LINE/L2 6.186209 486
458333 Y 948 1132 L2_Plat1e LINE/L2 5.214936 184
458335 Y 1511 2043 L2_Plat1f LINE/L2 6.276643 532
458336 Y 1 908 L2_Plat1f LINE/L2 6.810142 907
458337 Y 907 1037 L2_Plat1g LINE/L2 4.867534 130
So a toy set for the relevant parts of the data would be e.g.:
type<-sample(c("L2_Plat1a","L2_Plat1b","L2_Plat1c"),1000,replace=TRUE)
len<-rnorm(1000)
dummy<-as.data.frame(cbind(as.character(type),len))
so looking for
as.data.frame(summary(dummy$V1)) ~ /*average of each type's length*/
as my final goal.
I apologise for the syntax I use (I've come only recently from a perl
background, so there is a certain messiness and lack of consideration
for style to my coding) - I'm still having a really difficult time
figuring out how various data types are used and manipulated in R, but I
think I'm slowly getting the hang of it, but any suggestions of a good
reference for that (other than the R Introduction which didn't help all
that much), would be greatly appreciated.
thanks for any help
Dan
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