Minor correction:
duplicate <- ifelse(c(0, a$col[-length(a$col)])==a$col, 1, 0)
---
David
> -Original Message-
> From: David L Carlson [mailto:dcarl...@tamu.edu]
> Sent: Wednesday, July 25, 2012 3:23 PM
> To: 'Jeff'; 'r-help@r-project.org'
&g
rather fit, see also V&R (2002)."
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S.
New York: Springer.
----------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
>
between
the groups in a plot of the original variables. Time to provide "provide
commented, minimal, self-contained, reproducible code" [including data] as
called for at the bottom of your message.
------
David L Carlson
Associate Professor of Anthropolo
Actually you probably want the full manual. It is here
http://cran.r-project.org/doc/manuals/fullrefman.pdf
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
table(cut(numbers, c(0, 10, 20, 30, . . .), include.lowest=TRUE))
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: r-help-boun...@r-project.org
nts. Note that the number of iterations is 0 because in a 2 way
model the values are directly computed.
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From
7387 -0.23956925 <== This matches
D2rb$raw.center
So the "raw" values are taken for a subset, h, which includes observations
2, 3, 4, 5, 6, 8, and 10. Given that the raw.center and raw.cov are based on
a subset of the original data, the mahalanobis distances will not be the
s
7
[8,] 40 8 40 8
[9,] 25 9 25 9
[10,] 6 10 6 10
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: r-help-boun...@r-project.org
dn't have used xlim=c(100, 0) and then specified a log axis would
you? Since log(0) is -Inf, that could create problems.
----------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -O
try several group sizes to see what makes the most
sense for your data.
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: r-help-boun...@r-project.
,17,17)
targ.gen<-c(24,26)
targ.reg<-c(13,13,12)
f2<-ipf(mytable, margins=c(1,2,0,1,3,0,2,3), eps = 1e-04, maxits = 50,
showits = TRUE) #no 3 way interaction
Where and how should I input/set my target value here? Any sugguestions? or
I have to write my own function?
Manythanks,
Mandy
O
11 12
5 Y Bcc 13 12 11
6 Y Ccc 11 16 20
You just might find that one of these is what you need.
------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Messa
You might also check ?pdf on your system. On Windows the default is for
compression. Your code creates a 186K file although it is slow to load
reflecting the overhead from decompressing the file.
--
David L Carlson
Associate Professor of Anthropology
I don't see anything obviously wrong, but I seem to remember that SPSS uses
equal prior probabilities as the default whereas lda() uses "the class
proportions for the training set." That might explain the difference.
------
David L Ca
x1
1 5 2
2 5 3
3 5 1
4 5 3
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
>
s not seem to exist -
sm.densityplot.compare - plus you copy the error message but not your
function call. How can we possibly tell you what you did wrong? Is this
really function sm.density.compare() in package sm?
------
David L Carlson
Associate Pr
no significant differences between the groups, so there is no
reason to use a multiple comparison test.
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
>
RUE TRUE TRUE TRUE
[25] TRUE TRUENA FALSE
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-h
FALSE TRUE FALSE FALSE FALSE TRUE
[13] FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[25] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[37] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[49] FALSE FALSE FALSE FALSE
>
Your first command erases all the data in that column:
dat$final_purchase_amount<- NA
so when you refer to it later, it consists of only NAs.
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 778
Like this?
r <- raster(ncol=10, nrow=10, xmn=0, ymx=0)
values(r) <- mat
plot(r)
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From:
lue" which provides information about what values are returned by the
function.
str(den0)
den0$x
den0$y
plot(den0$x, den0$y, typ="l")
----------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4
the density is estimated.
y
the estimated density values. These will be non-negative, but can be zero.
We can also check this using the code below.
X <- rnorm(100)
density(X)-> den0
den0
X[1:10]
(den0$x)[1:10]
(den0$y)[1:10]
round(dnorm((den0$x)[1:10]), 6)
round(dnorm(X[1:10]), 6)
Thank
[2,], (1:ngroups)+.4, outstat$stats[4,],
density=dval, angle=aval)# draw the rectangles
You can also play with lty= and lwd= but that will affect the box border as
well.
----------
David L Carlson
Associate Professor of Anthropology
Texas A&
Use summary(dados[[1]]). The error message is telling you that the data
include values outside the 0 to 20 range you have specified.
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-
, 1989), group = c("G1988", "G1989"))
> b <- data.frame(group = c(rep("G1988", 3), rep("G1989", 2)),
d = c(1985, 1982, 1984, 1988, 1980))
> ab <- merge(a, b)
> ab <- data.frame(ab, diff=ab$year-ab$d)
> new <- split(ab$diff, ab$grou
> -Original Message-
> From: David Winsemius [mailto:dwinsem...@comcast.net]
> Sent: Thursday, August 09, 2012 5:17 PM
> To: dcarl...@tamu.edu
> Cc: 'jimi adams'; r-help@r-project.org
> Subject: Re: [R] indexing in data frames
>
>
> On Aug 9, 2012, at 2:43 PM, D
ots?
>
> Thank you! This sounds good and easy to do (if I can as well make
> stripes to the legend)
>
> Original Message--
> From: David L Carlson
> To: , 'John Kane'
> Date: 09.08.2012 22:10
> Subject: Re: [R] Fill pattern for Boxplots?
>
--Original Message-
>> > From: aprendizprog...@hotmail.com
>> > Sent: Fri, 10 Aug 2012 16:08:16 +0300
>> > To: kri...@ymail.com, r-help@r-project.org
>> > Subject: Re: [R] help error histograma
>> >
>> >
>> > Hi,
>>
Loire"
[4] "Groß Särchen, Germany"
> apropos("HTML")
For a CSV file you would want to preserve the lines by adding to the
end of each line first.
--
David L Carlson
Associate Professor of Anthropology
Texas A&M Uni
There is no command "For" in R. It is "for" and R is case sensitive.
----------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: r-help-b
p://www.sdss.org/dr7/).
----------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of David Winsemius
> Sent:
LC_TELEPHONE=C
> > [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
> >
> > attached base packages:
> > [1] stats graphics grDevices utils datasets methods base
> >
> > other attached packages:
> > [1] sp_0.9-99
> >
> > loaded via a namespace
Or if you want to use recode (which you forgot to mention is in package
car):
set.seed(1)
df1<- c(sample(1:12, 50, replace=TRUE)) # sample data
library(car)
recode(df1, "c(1, 2, 3, 4, 11, 12)='invierno'; 5:10='verano'")
-----------
", "ç", "è", "é", "ê",
"ë", "ì", "í", "î", "ï", "ð", "ñ",
"ò", "ó", "ô", "õ", "ö", "ø", "ù",
"ú",
{5}", add1))
------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Erin Hodgess
> S
3 4 5
0 1 1 1 1
> table(c(x, y))
1 2 3 4 5
1 2 2 2 1
> table(x) + table(y)
x
1 2 3 4 5
1 2 2 2 1
----------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Messag
0
There is a typo in your message. Columns 1, 2, 3, 4, 5, 7, and 10 have all
elements duplicated and 6, 8, and 9 do not.
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: r-help-boun...@r-pro
On the Mac try pipe("pbpaste") instead of "clipboard."
----------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: r-help-boun...@r-proj
You could also use a 3d array instead of a list:
> m <- matrix(1:400, ncol=100, byrow=TRUE)
> a <- array(m, dim=c(2, 2, 100), dimnames=list(row=c(1, 2),
col=c(1, 2), tbl=c(paste0("a", 1:100
> a[,,1] # First table by index
col
row 1 2
1 1 201
2 101 301
> a[,,"a1"] # First t
?tapply
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of
tions of Romain Francois collection
License: GPL version 2 or newer
Depends: R (>= 2.1.1), grid
URL: http://addictedtor.free.fr/packages
Built: R 2.2.1; ; 2006-01-04 23:25:37; unix
------
David L Carlson
Associate Professor of Anthropology
Texas A&
, ...) points(x, y,
pch=as.numeric(variable$group)))
The first one plots the group instead of a point and the second
one plots a symbol for each group.
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station
quot;[/()]")
> tmp2 <- sapply(tmp, function(x) as.numeric(x[-1]))
> maxlen <- max(sapply(tmp2, length))
> datnew <- data.frame(t(sapply(tmp2, function(x) c(x, rep(0,
maxlen-length(x))
> datnew
X1 X2 X3 X4
1 60 25 15 0
2 90 10 0 0
3 40 35 15 10
4 40 25 25 1
d "Statistics Using R" (28 volumes).
----------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounc
uot;top", ncol=3)))
> with(mydata, barplot(t(cbind(female, male)), names.arg=opinion,
beside=TRUE, cex.names=.8, legend.text=TRUE))
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
>
bounces@r-
> project.org] On Behalf Of David L Carlson
> Sent: Monday, August 20, 2012 2:15 PM
> To: 'darnold'; r-help@r-project.org
> Subject: Re: [R] Beside Barplot
>
> Sure but which way?
>
> > dput(mydata)
> structure(list(opinion = structure(c(4L, 5L, 1L,
ed by `ML'
count observed fitted
0 109 108.6701738
1 65 66.2888060
2 22 20.2180858
33 4.1110108
41 0.6269291
----------
David L Carlson
Associate Professor of Anthropology
Texas A&M Univ
> table(assign)
assign
1/2 1/3 2/1 2/3 3/1 3/2
10 10 10 10 10 10
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
>
; table(assign)
assign
1/2/3 1/3/2 2/1/3 2/3/1 3/1/2 3/2/1
101010101010
---
David
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of David L Carlson
> Sent: Wednesday, August 22, 2012 5
cld(Pairs.Ex) # (c)ompact (l)etter (d)isplay
plot(confint(Pairs.Ex))
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounce
This is not an RStudio issue. The RConsole echoes commands and then the
output. If you want to open a window to display the output of a command, you
might look at package tcltk.
--
David L Carlson
Associate Professor of Anthropology
Texas A&M Univer
Look at your plot command. You included type="o" twice.
------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: r-help-boun...@r-projec
You are still using html - you need to tell hotmail to use plain text only.
I can't replicate your error with the following:
dados <- c(44, 40, 39, 38, 0, 7, 7, 1030, 57, 37, 5146, 40, 41, 4737, 34,
36,
2636, 28, 33, 3738, 26, 28, 2742, 38, 36, 3636, 27, 22, 2853, 43, 33, 40)
plot(dados[1],ty
How about this?
> grps <- unique(c(BagA, BagB))
> BagA <- factor(BagA, levels=grps)
> BagB <- factor(BagB, levels=grps)
> layout(c(2,1))
> barplot(table(BagB))
> barplot(table(BagA))
----------
David L Carlson
Associate Professo
anning to do with it.
----------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org]
oes not. It also has several methods
for choosing starting seeds. In R you would have to use or create a function
to compute those starting seeds and then pass them to kmeans.
----------
David L Carlson
Associate Professor of Anthropology
Texas A&
s = "data.frame")
This will give you a plot of the kde estimate:
xkde <- density(rep(bins, counts), bw="SJ")
plot(xkde)
As for the standard error or the confidence interval, you would probably
need to use bootstrapping.
----------
David
7 22
Self-medicated 69 81 50
----------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: r-help-boun...@r-project.org [mai
This is a pretty vague question. Ecologists work quite a bit with distance
matrices and binary data. You will find some options in packages vegan and
ecodist for example. I'm sure there are many others
--
David L Carlson
Associate Profess
ctor(Year)
> Agei=as.integer(Age)
> ( svCom <- vbStarts(MMi~Agei,data=LMB))
Error: could not find function "vbStarts"
Now you've left out loading one or more packages with library() commands.
I'll stop here. If you want help, provide "minimal, self-contained
e a character array (chr):
> str(data)
'data.frame': 10 obs. of 1 variable:
$ sex: chr "Male" "Male" "Male" "Male" ...
If you want to convert a character array to a factor just use the command:
data$sex <- factor(data$sex)
By def
. Inserting a complete record at the top of the data
prevents the conversion to text, but NA's are still converted to zeros.
As a workaround, you could replace NA's with before reading the file
and then convert this value to NA within R.
----
4321
------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On
etters[1:4], year=1980:1999)
> p2<-predict(model_b, newdata=py2, se.fit=TRUE, type='response')
> py2 <- data.frame(py2, p2)
> plot(count~year, data=data, pch=as.character(site))
> x <- unstack(py2, py2$year~py2$site)
> y <- unstack(py2, py2$fit~py2$site)
> matlines(
Try adding the parameter xpd=TRUE to your legend() statement. Without
reproducible code it is pretty hard to be sure what the problem is.
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-
/files/rex1.pdf
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of vioravis
Isn't this even easier?
> X1 <- c(1:3)
> X2 <- c(3, 4, 6)
> X3 <- c(5, 6, 1)
> Y <- 6*X1 + 7*X2 + 8*X3
> Y
[1] 67 88 68
Or if you really need a function:
> MakeY <- function(x, y, z) 6*x + 7*y + 8*z
> MakeY(X1, X2, X3)
[1] 67 88 68
-----
r2, Groups)# Now it shows up
For predicted group membership, look at predict.lda
For tests of significance, look at Anova in package car
For canonical discriminant analysis, look at package candisc
----------
David L Carlson
Associate Professor of Anthropo
)
}
)
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Petr PIKAL
Sent: Wednesday, January 04, 2012 10:27 A
are all +/-1.
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of david
Since you are only looking at the distance between two points, they must
fall on a line so no matter how many values you have for each point, their
dimension is still 1. Mahalanobis distance is a way of measuring distance in
multivariate space when the variables (columns) are correlated with one
an
>From ?image
" Images for large z on a regular grid are more efficient with useRaster
enabled and can prevent rare anti-aliasing artifacts, but may not be
supported by all graphics devices. "
Adding useRaster=TRUE to the two image() calls gets rid of the white grid
lines.
-Original Message--
There are lots of options since you did not tell us what you want on the
axis (or what you have tried).
For example if you want more than 6 tick marks/labels, replace xlim=c(0,
3000) with xaxp=c(0, 3000, 12) to get labels every 250 meters instead of
500. Depending on the size of the graph window y
Or do you want each number separated?
> data <- textConnection("010101001110101
+ 10101001010
+ 01001010010"
+ )
> result <- as.matrix(read.fwf(data, rep(1, 15)))
> result
V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 V14 V15
[1,] 0 1 0 1 0 1 0 0 1 1 1 0 1 0 1
[2,]
You can get the same results with the cut() function in R:
cut(cars$speed, breaks=quantile(cars$speed, probs=c(0:15/15)), labels=1:15,
include.lowest=TRUE)
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station
How about?
> x <- array(Titanic, dim=c(4,2,2,2))
> str(x>
num [1:4, 1:2, 1:2, 1:2] 0 0 35 0 0 0 17 0 118 154 ...
----------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
-
Try again. There is no dotPlot() function in lattice and dotplot() does not
take two separate rows so the example you gave us generates an error message if
dotPlot is changed to dotplot.
--
David L Carlson
Associate Professor of Anthropology
Texas A
veral approaches and provides R code for them.
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-projec
The lines() command doesn't work and histogram combines categories unless
you specify the number. How about a barplot
Lam <- 3
X <- table(rpois(500, Lam))
Max <- length(X)-1
barplot(rbind(X, 500*dpois(0:Max, Lam)), beside=TRUE,
legend.text=c("Observed", "Expected"))
or a rootogram
library(vcd)
ro
Look at distm() in package geosphere.
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org
.
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Diviya Smith
Sent: Thursday, November 10, 2011 1
a and x
X-squared = 7.8289, df = 9, p-value = 0.5515
$d
Pearson's Chi-squared test
data: df$a and x
X-squared = 6.1221, df = 9, p-value = 0.7276
$e
Pearson's Chi-squared test
data: df$a and x
X-squared = 6.6181, df = 9, p-value = 0.6768
--
t;,
"gene2", "gene3", "gene4", "gene5"), c("codon1", "codon2",
"codon3")))
Library(ca)
plot(ca(table, suprow=c(4, 5)))
This uses the first 3 rows for the correspondence analysis and then plots
rows 4 and 5 in that space us
1
Note that the first density multiplied by 35 is .279 exactly what you
expected and the sum of the densities multiplied by the width of each bar
(35) is 1. The height of the bar is not the probability, the area of the bar
is the probability.
----------
David L Carls
ling 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.
--
David L Carlson
Associate Professor
You can check to see if you have authorization to update those files by
right-clicking on the R shortcut icon (on your desktop or in Windows | All
Programs | R | R2.14.1 (your version may be different). In the menu that
opens, if there is an option to Run as Administrator (near the top on my
system
You should probably read the posting guide, but the answer is "Yes."
------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
-Original Message-
From: r-help-boun...@r-project
Or just replace c(0, .333, .667, 1) with
n <- 10
split(x, cut(x, quantile(x, prob= c(0, 1:(n-1)/n, 1)), include.lowest=TRUE))
where n is the number of groups you want.
--
David L Carlson
Associate Professor of Anthropology
Texas A&M Uni
ata[,i:(i+1)])^2
}
dm <- sqrt(dm)
dm
----------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.o
At the R command prompt
?kmeans (for info on the R equivalent to FASTCLUS)
?hclust (for info on the R equivalent to CLUSTER)
Install package clusterSim
and look at function index.G1 for the Calinski-Harabasz pseudo F-statistic
--
David L Carlson
- cbind(x, y)
# Now a matrix of the 1/0 values
z <- matrix(as.matrix(Lv2.8), nrow=144, ncol=1)
# Finally eliminate the coordinates that are empty
points <- xy[as.logical(z),]
# Now your commands will work (with the window expanded slightly)
X <- as.ppp(points, owin(c(0, 13), c(0,13)))
plo
wa', lwd=3, add=TRUE)
Assuming you want the state outline in black with the county boundaries in
white. Otherwise just eliminate the last map command.
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station
q(-1, 2, .5), lty=1, col="gray")
par(oldpar)
------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...
xt data and the Rdata (data3). It will just
get confusing.
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David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun
Does adding font=2 (to select bold) work? See ?par - option font.
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-
Look at distm() in package geosphere or geoDist() in package SoDA.
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
-Original Message-
From: r-help-boun...@r-project.org [mail
uot;))
postscriptFonts(Arial=Arial)
par(family="Arial")
postscript("testArial.eps", horizontal=F, onefile=F, width=4, height=4)
plot(1:10, 1:10)
dev.off()
--
David L Carlson
Associate Professor of Anthropology
Texas A&M University
Colleg
, row.names=1, header=T)
I believe that "clipboard" works only on Windows computers.
----------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
-Original Message-
From: r-help-boun...@r
among the 57 variables so that you are only
getting slope values for 11.
----------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
-Original Message-
From: r-help-boun...@r-project.o
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