[R] Linear Regression with 2 grouping variables
Michael Dewey
info at aghmed.fsnet.co.uk
Tue Aug 23 12:17:51 CEST 2011
At 02:15 23/08/2011, Nathan Miller wrote:
>Hi all,
See comment in-line
>I have a data set that looks a bit like this.
>
>feed1
> RFU Site Vial Time lnRFU
>1 44448 1 1 10 10.702075
>2 47521 1 1 20 10.768927
>3 42905 1 1 30 10.66674
>4 46867 1 1 40 10.755069
>5 42995 1 1 50 10.668839
>6 43074 1 1 60 10.670675
>7 41195 1 1 70 10.626072
>8 47090 1 2 10 10.759816
>9 48100 1 2 20 10.781037
>10 43215 1 2 30 10.673943
>11 39656 1 2 40 10.587998
>12 38799 1 2 50 10.566150
>13 38424 1 2 60 10.556438
>14 35240 1 2 70 10.469937
>15 46427 1 3 10 10.745636
>16 46418 1 3 20 10.745443
>17 42095 1 3 30 10.647684
>......
>There are 5 columns of data, three levels of "Site", 10 "Vials" per site,
>and measurements were taken at 10 min intervals from 10-70.. I am primarily
>interested in the relationship between "Time" and "lnRFU" to calculate the
>rate at which lnRFU declines over time. I have a nice plot using a ggplot2
>code that looks like this
>
>p<-ggplot(data=feed1,aes(x=Time,y=lnRFU))
>p+geom_point(size=4)+facet_grid(Site~Vial)+geom_smooth(method="lm")
>
>The graph is useful to visualize the changes over time and grouped by both
>Site and Vial, but I also need the slopes of the linear regressions for each
>Vial, within a Site. This is where I run into a problem. I want to run a
>linear regression of lnRFU as a function of Time grouped by both Site and
>Vial. Its easy to visualize this comparison in ggplot using facet_grid(),
>but I'm not sure how to do a similar comparison/analysis within lm()
>
>I imagine something like
>
>fit<-lm(lnRFU~Time | Vial * Site, data=feed1)
I think you will find lmList from nlme helpful here, try
library(nlme)
fitlist <- lmList(lnRFU~Time | Vial * Site, data=feed1)
Untested, but should be OK. There are a number of helper functions in
nlme which operate on lmList objects to give handy plots and more.
> in which I group by both Vial and Site, but obviously this code doesn't
>work. Does anyone have an idea for how to do a linear regression with two
>grouping variables? Do I have to go back and combine Vial and Site into a
>single grouping variable or can I leave the dataframe the way it is? I'm
>trying to imagine a means of accomplishing the same type of thing that
>facet_grid does when it allows you to plot the data as a function of two
>"grouping" variables.
>
>Thanks for you time. I greatly appreciate it.
>
>Nate Miller
>
> [[alternative HTML version deleted]]
Michael Dewey
info at aghmed.fsnet.co.uk
http://www.aghmed.fsnet.co.uk/home.html
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