Displaying 20 results from an estimated 9000 matches similar to: "plot with no default axis labels"
2009 Jul 13
2
graph: axis label font
Hi,
excuse me for my english, i am using R on windows and i have to do several
graphs with axis labels and the axis text thicks has a specified font type,
(Arial) and a specified font size. How can i do these? Thank you in advance
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2011 Oct 22
4
issue loading doBy library
Hello,
How can I fix this? I have the latest version of R 2.13.2 and I use Mac OS X 10.7.2
> library(doBy)
Loading required package: lme4
Error in dyn.load(file, DLLpath = DLLpath, ...) :
function 'cholmod_l_start' not provided by package 'Matrix'
Error: package 'lme4' could not be loaded
> library(lme4)
Error in dyn.load(file, DLLpath = DLLpath, ...) :
function
2011 Nov 10
2
2^k*r experimental design and anova
Hello,
Can anyone point me to an online tutorial or book containing the easiest way to do ANOVA over the result data from a 2^k*r experiment. It is not clear to me if I can pass the raw data corresponding to each experiment or just the summarized data i.e. mean, sse, std, etc.
I would like to get the:
- box plot showing the effect for the different factors and levels
- plot showing whether there
2011 Oct 23
4
summarizing a data frame i.e. count -> group by
Hello,
This is one problem at the time :)
I have a data frame df that looks like this:
time partitioning_mode workload runtime
1 1 sharding query 607
2 1 sharding query 85
3 1 sharding query 52
4 1 sharding query 79
5 1 sharding query 77
6 1 sharding query 67
7 1
2011 Dec 26
2
glm predict issue
Hello,
I have tried reading the documentation and googling for the answer but reviewing the online matches I end up more confused than before.
My problem is apparently simple. I fit a glm model (2^k experiment), and then I would like to predict the response variable (Throughput) for unseen factor levels.
When I try to predict I get the following error:
> throughput.pred <-
2012 Sep 09
2
use subset to trim data but include last per category
Hello,
I bumped into the following funny use-case. I have too much data for a given plot. I have the following data frame df:
> str(df)
'data.frame': 5015 obs. of 5 variables:
$ n : Factor w/ 5 levels "1000","2000",..: 1 1 1 1 1 1 1 1 1 1 ...
$ iter : int 10 20 30 40 50 60 70 80 90 100 ...
$ Error : num 1.05e-02 1.24e-03 3.67e-04 1.08e-04
2010 May 01
1
ggplot2's geom_errorbar legend
Hello,
I create a simple ggplot that only shows a straight line. I then add three datasets of CI using the geom_errorbar function. The problem is that I can't find any way to have the legend showing up ... I need to show what each color of the CIs corresponds to i.e. which method.
Can anyone advice please?
TIA,
Best regards,
Giovanni
2010 Apr 17
2
interpreting acf plot
Hello,
I am attending a course in Computational Statistics at ETH and in one of the assignments I am asked to prove that a time series is not autocorrelated using the R function "acf".
I tried out the acf function with the given data, according to what I found here: http://landshape.org/enm/options-for-acf-in-r/ this test data does not look IID but rather shows some trends so how can I
2011 Nov 12
2
dev.new() within a loop
Hello,
I have a loop where I iterate performance data files within a folder, parse and plot them in one shot (see below).
However, when executing plot_raw which invokes dev.new(..) all windows come out blank whereas if I execute each file outside of a loop then I can see the plots properly. What's wrong here?
Thanks in advance,
Best regards,
Giovanni
# given a directory name, it will
2010 May 15
3
abline limit constrain x-range how?
Hello,
I managed to "linearize" my LDA decision boundaries now I would like to call abline three times but be able to specify the exact x range. I was reading the doc but it doesn't seem to support this use-case? are there alternatives. The reason why I use abline is because I first call plot to plot all the three datasets and then call abline to "append" these decision
2011 Dec 07
1
data frame and cumulative sum
Hello,
I have a data frame that looks like this (containing interarrival times):
> str(df)
'data.frame': 18233 obs. of 1 variable:
$ Interarrival: int 135 806 117 4 14 1 9 104 169 0 ...
> head(df)
Interarrival
1 135
2 806
3 117
4 4
5 14
6 1
>
This corresponds to the time differences (in ms) of a poisson arrival
2013 Feb 13
4
Equivalente a paper="a4", pero en pantalla gráfica
Buenas tardes:
Quería lograr el efecto "expansivo" que se consigue con la opción paper="a4" de la función pdf, pero sin volcar en pdf; es decir, yo quiero enviar mi gráfico (luego definiré sus propiedades) a la salida gráfica (RGui) de modo que quede con verticalidad, como en un A4, y luego el usuario final es libre de guardar en pdf o no, con el propio RGui.
Ahora voy a
2011 Nov 23
1
R-latex syntax highlighting?
Hello,
Can anyone provide or point me to a good setup for the listings latex package that would produce nice R-syntax highlighting?
I am using an example I found in internet for setting up listings like this:
\lstset{
language=R,
basicstyle=\scriptsize\ttfamily,
commentstyle=\ttfamily\color{gray},
numbers=left,
numberstyle=\ttfamily\color{red}\footnotesize,
stepnumber=1,
numbersep=5pt,
2008 Oct 23
2
Avoiding Biplot Labels Overllaping
Hi everybody,
I'm trying, without success, to avoid some variables labels to overlap on a capscale (vegan package) object graph.
I was able to move the labels with the coding below, but it moves the entire vector...
CAPobj<-CAPpotiFT
for(i in c(2:8))CAPobj$CCA[[i]][,1]<-CAPpotiFTI$CCA[[i]][,1]
CAPpotiFTI$CCA[[i]][,1][2]<-0.85
And here the graphic script
2010 Apr 30
4
plotting multiple CIs
Hello,
I need to plot multiple confidence intervals for the same model parameter e.g. so for the same value of the parameter in point x_1 I would like to see four different confidence intervals so that I can compare the accuracy e.g. boot basic vs normal vs my own vs classic lm CI etc.
I like very very much the plotCI implemented here:
http://cran.r-project.org/web/packages/plotrix/index.html
2011 Nov 13
2
2^k experiment generator
Hello,
While looking for info on 2^k experimental design and anova I remember I saw somewhere there was a function to generate all the experiments. I can't find the function anymore can anyone suggest?
The function takes as input the factors and levels and generates all the experiments. I know I can do it myself using recursion but I want to avoid 1) reinventing the wheel and 2) making
2011 Oct 24
1
binning runtimes
Hello,
Suppose I have the dataset shown below. The amount of observations is too massive to get a nice geom_point and smoother on top. What I would like to do is to bin the data first. The data is indexed by Time (minutes from 1 to 120 i.e. two hours of System benchmarking).
Option 1) group the data by Time i.e. minute 1, minute 2, etc and within each group create bins of N consecutive
2012 Aug 27
2
simplest way (set of functions) to parse a file
Hello,
What would be the best set of R functions to parse and transform a file?
My file looks as shown below. I would like to plot this data and I need to parse it into a single data frame that sorts of "transposes the data" with the following structure:
> df <- data.frame(n=c(1,1,2,2),iter=c(1,2,1,2),step=as.factor(c('Step 1', 'Step2', 'Step 1',
2010 May 01
2
closest match in R to c-like struct?
Hello,
What would be in R the closest match to a c-struct? e.g. data.frame requires all elements to be of the same length ... or is there a way to circumvent this?
TIA,
Best regards,
Giovanni
2013 Jun 27
1
corrgram with two datasets
Hi,
I would like to display inter-parameter scatter plots like those with the corrgram package (see upper triangle here: http://www.statmethods.net/advgraphs/images/corrgram2.png ), just that I would like to plot two datasets instead of one. Say one with black and one with red dots. Or a merged dataset where an indicator column is used to assign different colors to particular dots - with still