[R] more on lm(y~x) question: removing NA´s
Christoph Scherber
Christoph.Scherber at uni-jena.de
Tue May 4 15:55:09 CEST 2004
actually, the situation is much more complicated. I am producing
multiple graphs within a "for" loop. For some strange reason, the
plotting routine always stops once lm(y~x) encounters more than one
missing value (I have marked the important bit with "***********"):
par(mfrow=c(5,5))
p_seq(3,122,2)
i_0
k_0
number_0
for (i in p) {
j_foranalysis[93:174,i+1]
k_foranalysis[93:174,i]
df_data.frame(j,k)
mainlab1_substring(names(foranalysis[i]),2,8)
mainlab2_"; corr.:"
mainlab3_round(cor(j,k,na.method="available"),4)
mainlab4_"; excl.Mono:"
mainlab5_round(cor(j[j<0.9],k[j<0.9],na.method="available"),4)
mainlab_paste(mainlab1,mainlab2,mainlab3,mainlab4,mainlab5)
plot(k,j,main=mainlab,xlab="% of total biomass",ylab="% of total
cover",pch="n")
for (k in 1:length(foranalysis[93:174,i]))
number[k]_substring(plotcode[foranalysis[k,1]],1,5)
text(foranalysis[93:174,i],foranalysis[93:174,i+1],number)
**********************************
model_lm(j~k,na.action=na.exclude])
**********************************
abline(model)
abline(0,1,lty=2)
}
Does anyone have any suggestions on this?
Best regards
Chris.,
Liaw, Andy wrote:
>By (`factory') default that's done for you automagically, because
>options("na.action") is `na.omit'.
>
>If you really want to do it `by hand', and have the data in a data frame,
>you can use something like:
>
>lm(y ~ x, df[complete.cases(df),])
>
>HTH,
>Andy
>
>
>
>>From: Christoph Scherber
>>
>>Dear all,
>>
>>I have a data frame with different numbers of NA´s in each
>>column, e.g.:
>>
>>x y
>>1 2
>>NA 3
>>NA 4
>>4 NA
>>1 5
>>NA NA
>>
>>
>>I now want to do a linear regression on y~x with all the NA´s
>>removed.
>>The problem now is that is.na(x) (and is.na(y) obviously
>>gives vectors
>>with different lengths. How could I solve this problem?
>>
>>Thank you very much for any help.
>>
>>Best regards
>>Chris
>>
>>______________________________________________
>>R-help at stat.math.ethz.ch mailing list
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>>
>>
>>
>>
>
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