Displaying 20 results from an estimated 9000 matches similar to: "scaling axes when plotting multiple data sets"
2004 Nov 22
2
variable object naming
Is it possible to give a temporary object a name that varies with each run of a
foreloop? For example, I want to fill a matrix every time I run a loop, and I
want a new matrix with each run, with an appropriate new name.
i.e.:
for(i in 1:5){... matrix.i<-some values ...}
so that in the end I would have:
matrix.1
matrix.2
matrix.3
matrix.4
matrix.5
Thanks,
Ben Osborne
--
Botany Department
2005 Mar 01
1
na.strings in readLines or is.na?
When reading a data set into R using readLines, na.strings="-99.99" is ignored.
Is there an equivalent command for readLines? Alternatively, either
immediately after reading into R or once the data set has been converted to a
data frame, what is the appropriate command (or appropriate use of is.na) to
convert my -99.99s to NAs?
Thanks,
Ben Osborne
--
Botany Department
University of
2004 Dec 04
1
AIC, AICc, and K
How can I extract K (number of parameters) from an AIC calculation, both to
report K itself and to calculate AICc? I'm aware of the conversion from AIC ->
AICc, where AICc = AIC + 2K(K+1)/(n-K-1), but not sure of how K is calculated
or how to extract that value from either an AIC or logLik calculation.
This is probably more of a basic statistics question than an R question, but I
thank
2005 Apr 18
1
R-squared in summary(lm...)
What is the difference between the two R-squareds returned for a linear
regression by summary(lm...)? When might one report multiple vs. adjusted
R-squared?
Thank you,
Ben Osborne
--
Botany Department
University of Vermont
109 Carrigan Drive
Burlington, VT 05405
benjamin.osborne at uvm.edu
phone: 802-656-0297
fax: 802-656-0440
2004 Dec 13
1
AIC, glm, lognormal distribution
I'm attempting to do model selection with AIC, using a glm and a lognormal
distribution, but:
fit1<-glm(BA~Year,data=pdat.sp1.65.04, family=gaussian(link="log"))
## gives the same result as either of the following:
fit1<-glm(BA~Year,data=pdat.sp1.65.04, family=gaussian)
fit1<-lm(BA~Year,data=pdat.sp1.65.04)
fit1
#Coefficients:
#(Intercept) Year2004
# -1.6341
2004 Oct 09
1
functions
Does anyone know of a list of functions that R already "knows?" I can't seem to
find this anywhere in the help documentation. For example, I want to count the
number of occurences of a certain value in a column of a data frame: What do I
have to do to tell R to "Count?"
Thanks,
Ben Osborne
--
Botany Department
University of Vermont
109 Carrigan Drive
Burlington, VT 05405
2009 Apr 17
3
Create histogram from data matrix
Hello!
Thanks for reading this request for assistance. I have a question
regarding creating a histogram-like figure from data that are not
currently in the correct format for the "hist" command.
Specifically, my data have been processed and are in a matrix with
columns containing the variables of interest and separate columns
containing the number of times this variable was
2009 Apr 10
1
Subset a data frame for plotting
Hello,
I have a question regarding how to subset/select parts of a data
frame (matrix) in order to plot data associated only with this subset.
Specifically I have a large data frame in which one column contains ID
values (dates), and other columns contain data I would like to plot
(temperature, light, etc.). I would like to break up this large matrix
so as to plot data associated
2004 May 08
1
Installing R 1.9.0 on OSX
I've downloaded and installed R 1.9.0 under OS X 10.3.3. I then
removed my previous R 1.8.0 installation by following the
instructions in the readme file, e.g.,
1. drag the "StartR" icon into the Trash;
2) go inside your Home directory and search for the Library folder.
Inside the Library folder in your Home directory you'll
find a RAqua directory: drag the RAqua
2003 Dec 11
2
Failed installation on Mac OSX 10.3 (PR#5697)
I've installed R 1.8.1 on OSX 10.3 (Panther) using the RAqua.pkg and
all indications were that the installation was successful. However,
after double clicking the R icon in the Applications folder, nothing
appears to happen. The following message appears on the console:
Mac OS X Version 10.3 (Build 7B85)
2003-12-11 08:45:31 -0500
prefs written
dyld:
2003 Dec 11
2
Failed installation on Mac OSX 10.3 (PR#5697)
I've installed R 1.8.1 on OSX 10.3 (Panther) using the RAqua.pkg and
all indications were that the installation was successful. However,
after double clicking the R icon in the Applications folder, nothing
appears to happen. The following message appears on the console:
Mac OS X Version 10.3 (Build 7B85)
2003-12-11 08:45:31 -0500
prefs written
dyld:
2005 Jan 26
1
summarizing daily time-series date by month
Message: 63
Date: Wed, 26 Jan 2005 04:28:51 +0000 (UTC)
From: Gabor Grothendieck <ggrothendieck at myway.com>
Subject: Re: [R] chron: parsing dates into a data frame using a
forloop
To: r-help at stat.math.ethz.ch
Message-ID: <loom.20050126T052153-333 at post.gmane.org>
Content-Type: text/plain; charset=us-ascii
Benjamin M. Osborne <Benjamin.Osborne <at> uvm.edu>
2005 Jan 25
1
chron: parsing dates into a data frame using a forloop
I have one data frame with a column of dates and I want to fill another data
frame with one column of dates, one of years, one of months, one of a unique
combination of year and month, and one of days, but R seems to have some
problems with this. My initial data frame looks like this (ignore the NAs in
the other fields):
> mans[1:10,]
date loc snow.new prcp tmin snow.dep tmax
1
2005 Jun 10
1
Fortran compilation error
Hello,
I'm trying to install a package that requires a Fortran compiler
(Hmisc) using R CMD INSTALL. I downloaded the package source onto my
Desktop, unzipped it, and then typed:
R CMD INSTALL /Users/brianbeckage/Desktop/Hmisc
* Installing *source* package 'Hmisc' ...
** libs
g77 -fno-common -g -O2 -c cidxcn.f -o cidxcn.o
g77 -fno-common -g -O2 -c cidxcp.f -o cidxcp.o
g77
2005 Mar 14
1
calling objects in a foreloop
I want to organize outputs from several regressions into a handy table. When I
try the following, each of my "fit_s" is replaces instead of read. Is there a
way to read from the regression summaries that does not require writing
separate lines of code for each?
-Ben Osborne
> fit1<-lm(dBA.spp16$sp2.dBA.ha~dBA.spp16$sp1.dBA.ha)
>
2004 Aug 09
4
Simultaneous subscripts and superscripts
Dear List,
I'd like to add text to a plot where a text symbol has both a
superscript and subscript. For example, the variable S with a
superscript 2 and a subscript t. I have been able to accomplish this
using either
expression( paste(S,atop(scriptstyle(2),scriptstyle(t))) )
or
expression( {S[t]}^2 )
but the spacing isn't quite right (or rather what I'd like) using
either of
2005 Jan 31
2
coercing a list to a data frame, lists in foreloops
I have a set of time-series climate data with missing entries. I need to add
rows for these missing entries to this data set. The only way I know to do
this is unsing a foreloop, but this won't work on a list. I've tried to
convert the list to a data frame, but that won't happen, either.
I want to fill rows in this table:
> newtest[10:15,]
yrmos yearmo snow.sum snow.mean
2013 Jun 10
4
Combining CSV data
Hello R community,
I am trying to combine two CSV files that look like this:
File A
Row_ID_CR, Data1, Data2, Data3
1, aa, bb, cc
2, dd, ee, ff
File B
Row_ID_N, Src_Row_ID, DataN1
1a, 1, This is comment 1
2a, 1, This is comment 2
3a,
2008 May 14
4
Accessing items in a list of lists
Using R 2.6.2, say I have the following list of lists, "comb":
data1 <- list(a = 1, b = 2, c = 3)
data2 <- list(a = 4, b = 5, c = 6)
data3 <- list(a = 3, b = 6, c = 9)
comb <- list(data1 = data1, data2 = data2, data3 = data3)
So that all names for the lowest level list are common. How can I most
efficiently access all of the sublist items "a" indexed by the outer
2009 Nov 12
2
redundant factor levels after subsetting a dataset
#I have a data frame with a numeric and a character variable.
x=c(1,2,3,2,0,2,-1,-2,-4)
md=c(rep("Miller",3), rep("Richard",3),rep("Smith",3))
data1=data.frame(x,md)
#I subset this data.frame in a way such that one level of the character
variable does not appear in the new dataset.
data2=data1[x>0,]
data3=subset(data1,x>0)
#However, when I check the levels