Hi!! Has anyone used the coagulation data for statistical analysis ? I managed to get the data from the web but unsure of the way its supposed to read. I am new to R so trying to gets myself familiarized with the statistical tools using available data. I am appending the data I got of the web. If anyone is aware of its use I would welcome their input. Cheers always!! Murli ======================================================================THIS IS DATAPLOT DATA FILE BOXBLOOD.DAT DIET EFFECT ON BLOOD COAGULATION BOX, HUNTER & HUNTER (1978) STATISTIC FOR EXPERIMENTERS WILEY, PAGE 165-197 (MAIN EXAMPLE OF CHAPTER 6) COMPLETELY RANDOMIZED DESIGN NUMBER OF OBSERVATIONS = 24 TOTAL NUMBER OF VARIABLES PER LINE IMAGE = 3 RESPONSE VARIABLE = BLOOD COAGULATION TIME FACTOR 1 = DIET (4 LEVELS) FACTOR 2 = RUN SEQUENCE TO READ THIS FILE INTO DATAPLOT (AND ANALYZE)-- SKIP 25 READ BOXBLOOD.DAT Y X1 RUNSEQ CHAR X ALL PLOT Y X1 X1 . ER; ANOVA Y X1 . PLOT RES X1 X1 PLOT RES PRED PRED PLOT RES RUNSEQ NORMAL PROBABILITY PLOT RES Y X1 RUNSEQ ----------------- 62 1 20 60 1 2 63 1 11 59 1 10 63 2 12 67 2 9 71 2 15 64 2 14 65 2 4 66 2 8 68 3 16 66 3 7 71 3 1 67 3 17 68 3 13 68 3 21 56 4 23 62 4 3 60 4 6 61 4 18 63 4 22 64 4 19 63 4 5 59 4 24
On 19-Aug-04 T. Murlidharan Nair wrote:> Hi!! > Has anyone used the coagulation data for statistical analysis? > I managed to get the data from the web but unsure of the way its > supposed to read. I am new to R so trying to gets myself familiarized > with the statistical tools using available data. I am appending the > data I got of the web. If anyone is aware of its use I would welcome > their input. > Cheers always!! > Murli > > ======================================================================[Original dataset omitted]Hi Murli, There are several approaches to getting started with this sort of situation in R. The approach I usually adopt is generally as follows. First, copy the original data to a file, say "blood.csv", and then edit this file to remove all except the line which lists the variables and the lines of data themselves; then edit these lines to replace the spaces separating data items on a line with a single comma. In this way you obtain Y,X1,RUNSEQ 62,1,20 60,1,2 63,1,11 59,1,10 63,2,12 67,2,9 71,2,15 64,2,14 65,2,4 66,2,8 68,3,16 66,3,7 71,3,1 67,3,17 68,3,13 68,3,21 56,4,23 62,4,3 60,4,6 61,4,18 63,4,22 64,4,19 63,4,5 59,4,24 Then start R, and enter commands like D <- read.csv("blood.csv") Y <- D$Y; X1 <- D$X1; RUNSEQ <- D$RUNSEQ Now R has all the data, both combined into a dataframe D and also as separate variables. From this point on, you can do what you like. Some examples: plot(X1,Y) ix<-(X1==1); plot(RUNSEQ[ix],Y[ix],pch=1,xlim=c(0,25),ylim=c(40,80)) ix<-(X1==2);points(RUNSEQ[ix],Y[ix],pch=2,col="red") ix<-(X1==3);points(RUNSEQ[ix],Y[ix],pch=3,col="green") ix<-(X1==4);points(RUNSEQ[ix],Y[ix],pch=4,col="blue") X1.f <- factor(X1); D.lm <- lm(Y ~ X1.f) summary(D.lm) plot(RUNSEQ,D.lm$res) and so on. Good hunting! Ted. -------------------------------------------------------------------- E-Mail: (Ted Harding) <Ted.Harding at nessie.mcc.ac.uk> Fax-to-email: +44 (0)870 167 1972 Date: 20-Aug-04 Time: 11:50:11 ------------------------------ XFMail ------------------------------
Kjetil Brinchmann Halvorsen
2004-Aug-20 16:33 UTC
[R] Coagulation data by Box/Hunter/Hunter
The coagulation dataset is from chapter 6 of Box, Hunter&Hunter, and is
used to
introduce comparison of more than two treatments (ANOVA). It is supposedly
coagulation times of blood extracted from animals, after randomizing
the animals
to four groups and giving four different diets.
Some use in R:
coag <- matrix( scan(), 24, 3, byrow=TRUE)
# cutting/pasting from your post into the prompt from scan()
colnames(coag) <- c("time","diet","order")
> coag <- as.data.frame(coag)
> coag$diet <- as.factor(coag$diet)
> oneway.test(time ~ diet, data=coag, var.eq=TRUE)
One-way analysis of means
data: time and diet
F = 13.5714, num df = 3, denom df = 20, p-value = 4.658e-05
with(coag, stripchart(time ~ diet))
Kjetil Halvorsen
T. Murlidharan Nair wrote:
> Hi!!
> Has anyone used the coagulation data for statistical analysis ? I
> managed to
> get the data from the web but unsure of the way its supposed to read.
> I am
> new to R so trying to gets myself familiarized with the statistical
> tools using
> available data. I am appending the data I got of the web. If anyone
> is aware of
> its use I would welcome their input.
> Cheers always!!
> Murli
>
> ======================================================================>
THIS IS DATAPLOT DATA FILE BOXBLOOD.DAT
> DIET EFFECT ON BLOOD COAGULATION
> BOX, HUNTER & HUNTER (1978)
> STATISTIC FOR EXPERIMENTERS
> WILEY, PAGE 165-197 (MAIN EXAMPLE OF CHAPTER 6)
> COMPLETELY RANDOMIZED DESIGN
> NUMBER OF OBSERVATIONS = 24
> TOTAL NUMBER OF VARIABLES PER LINE IMAGE = 3
> RESPONSE VARIABLE = BLOOD COAGULATION TIME
> FACTOR 1 = DIET (4 LEVELS)
> FACTOR 2 = RUN SEQUENCE
> TO READ THIS FILE INTO DATAPLOT (AND ANALYZE)--
> SKIP 25
> READ BOXBLOOD.DAT Y X1 RUNSEQ
> CHAR X ALL
> PLOT Y X1 X1
> .
> ER; ANOVA Y X1
> .
> PLOT RES X1 X1
> PLOT RES PRED PRED
> PLOT RES RUNSEQ
> NORMAL PROBABILITY PLOT RES
> Y X1 RUNSEQ
> -----------------
> 62 1 20
> 60 1 2
> 63 1 11
> 59 1 10
> 63 2 12
> 67 2 9
> 71 2 15
> 64 2 14
> 65 2 4
> 66 2 8
> 68 3 16
> 66 3 7
> 71 3 1
> 67 3 17
> 68 3 13
> 68 3 21
> 56 4 23
> 62 4 3
> 60 4 6
> 61 4 18
> 63 4 22
> 64 4 19
> 63 4 5
> 59 4 24
>
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