Hello everyone,
I would like to test two regression slopes:do they differ significantly?The data and commands I've used so far:
x<-8.5:32.5 #Vektor x
y<-c( NA , NA , 5.67 , 6.53 , 6.83, 7.41 , 7.93 , 8.5 , 8.86, 9.46 , 9.82 , 10 ,10.35 , 10.7 ,11.03 ,11.37 ,11.61 ,11.84, 12.12, 12.39 ,12.67 ,12.96, 13.28 ,13.47, 13.65) #Vektor y
(regression<-lm(y~x))
summary(regression) Regression model 1
x<-8.5:32.5 #Vektor x
y<-c( NA, 5.88 ,6.95 , 7.2 ,7.66 , 8.02, 8.44, 9.06 , 9.65, 10.22 ,10.63, 11.06, 11.37, 11.91, 12.28 ,12.69 ,13.07 , 13.5 , 13.3 ,14.14 , NA , NA , NA , NA , NA) #Vektor y
(regression<-lm(y~x))
summary(regression) Regression model 2
Now I don't know how to continue as I want to test the slopes only ,not the regression lines in total.
Another problem I have is rather a formal one:
y<-c( NA , NA , 5.67 , 6.53 , 6.83, 7.41 , 7.93 , 8.5 , 8.86, 9.46 , 9.82 , 10 ,10.35 , 10.7 ,11.03 ,11.37 ,11.61 ,11.84, 12.12, 12.39 ,12.67 ,12.96, 13.28 ,13.47, 13.65) #Vektor y
that is my y-vector; I always need to copy and paste this line originating
from:
X8.5 X9.5 X10.5 X11.5 X12.5 X13.5 X14.5 X15.5 X16.5 X17.5
SD24 NA NA 5.67 6.53 6.83 7.41 7.93 8.5 8.86 9.46
X18.5 X19.5 X20.5 X21.5 X22.5 X23.5 X24.5 X25.5 X26.5 X27.5 X28.5
9.82 10 10.35 10.7 11.03 11.37 11.61 11.84 12.12 12.39 12.67
X29.5 X30.5 X31.5 X32.5
12.96 13.28 13.47 13.65
R always considers the original data as different variables(as matrix).
I already tried: y<-as.vector(SD24)
It doesn't work. SD24 is the object giving me the original data you see.
sorry for writing so long; hope it is clear what I wrote.
Thanks for your efforts, Benedikt
--
Comparing 2 slopes of 2 regression lines
2 messages · Benedikt Niesterok, PIKAL Petr
Hi r-help-bounces at r-project.org napsal dne 06.04.2009 12:28:35:
Hello everyone, I would like to test two regression slopes:do they differ
significantly?The
data and commands I've used so far: x<-8.5:32.5 #Vektor x y<-c( NA , NA , 5.67 , 6.53 , 6.83, 7.41 , 7.93 , 8.5 , 8.86, 9.46
, 9.
82 , 10 ,10.35 , 10.7 ,11.03 ,11.37 ,11.61 ,11.84, 12.12, 12.39 ,12.67
,12.
96, 13.28 ,13.47, 13.65) #Vektor y (regression<-lm(y~x)) summary(regression) Regression model 1 x<-8.5:32.5 #Vektor x y<-c( NA, 5.88 ,6.95 , 7.2 ,7.66 , 8.02, 8.44, 9.06 , 9.65, 10.22
,10.
63, 11.06, 11.37, 11.91, 12.28 ,12.69 ,13.07 , 13.5 , 13.3 ,14.14 , NA
,
NA , NA , NA , NA) #Vektor y (regression<-lm(y~x)) summary(regression) Regression model 2 Now I don't know how to continue as I want to test the slopes only ,not
the
regression lines in total.
Here is one approach http://tolstoy.newcastle.edu.au/R/e6/help/09/01/2632.html
Another problem I have is rather a formal one: y<-c( NA , NA , 5.67 , 6.53 , 6.83, 7.41 , 7.93 , 8.5 , 8.86, 9.46
, 9.
82 , 10 ,10.35 , 10.7 ,11.03 ,11.37 ,11.61 ,11.84, 12.12, 12.39 ,12.67
,12.
96, 13.28 ,13.47, 13.65) #Vektor y that is my y-vector; I always need to copy and paste this line
originating
from:
X8.5 X9.5 X10.5 X11.5 X12.5 X13.5 X14.5 X15.5 X16.5 X17.5
SD24 NA NA 5.67 6.53 6.83 7.41 7.93 8.5 8.86 9.46
X18.5 X19.5 X20.5 X21.5 X22.5 X23.5 X24.5 X25.5 X26.5 X27.5 X28.5
9.82 10 10.35 10.7 11.03 11.37 11.61 11.84 12.12 12.39 12.67
X29.5 X30.5 X31.5 X32.5
12.96 13.28 13.47 13.65
You probably read SD24 from some source by read.delim which suppose the first line is header and subsequent lines (in your case only one) are data. I would try to read it with header = FALSE option. You shall get data frame with 2 lines and you could then use t(your.reed.data) to transpose it to more convenient form. Or you can use x <- your.read.data[1,] y <- your.read.data[2,] to get x, y. Regards Petr
R always considers the original data as different variables(as matrix). I already tried: y<-as.vector(SD24) It doesn't work. SD24 is the object giving me the original data you
see.
sorry for writing so long; hope it is clear what I wrote. Thanks for your efforts, Benedikt --
______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.