similar to: multiple density function

I have a doubt about the standard syntax (actually, it's the only test that maruku doesn't pass yet). Lists MUST be preceded by an empty line? So the following are only 4 paragraphs, without list items, right? ----------- Paragraph and no space: * ciao Paragraph and 1 space: * ciao Paragraph and 3 spaces: * ciao Paragraph and 4 spaces: * ciao ----------- In other words, a

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Hi all, I am new to R. How does one go about fitting a trend-line to a scatter plot? Any help is appreciated. Thanks and regards, Anupam [[alternative HTML version deleted]]

Hi, I have a very sime app. I need to create as many records in the db as the selected checkboxes (named :isselected) in the view. Here is the code snippet from the controller: isselectedhash = params[:isselected] for mod in isselectedhash.keys @issue = Issue.new(params[:issue]) @issue.state = ''NEW'' @issue.mod_id = isselectedhash[mod] # this gets

Thanks, Pikal and Jim. Yes, it has been a long time Jim. I hope you have been well. Pikal, thanks. Your solution may be close to what I want. I did not know that I was posting in HTML. I just copied the data from Excel and posted in the email in Gmail. The data is still in Excel, because I have not yet figured out what is a good way to organize it in R. I am posting it again below as text. These

In the browser the link downloads immediately, in less than a second. I let the command run in R for five minutes, using R Studio. Nothing happened. On Fri, 9 Aug 2024 at 17:54, Ivan Krylov <ikrylov at disroot.org> wrote: > ? Thu, 8 Aug 2024 12:43:23 +0530 > Anupam Tyagi <anuptyagi at gmail.com> ?????: > > > In open.connection(con, "rb") : > > URL

Okay. Here is a modification that does four single line plots. at_df<-read.table(text= "Income MF MF_None MF_Equity MF_Debt MF_Hybrid Bank_None Bank_Current Bank_Savings Bank_NA $10 1 3.05 29.76 31.18 36.0 46.54 24.75 25.4 3.307 $25 2 2.29 28.79 32.64 36.27 54.01 24.4 18.7 2.891 $40 3 2.24 29.51 34.31 33.94 59.1 25.0 29 13.4 $75 4 1.71 28.90 35.65 33.74 62.17 24.61 11.48 1.746

I am trying to make plots that take into account survey weights. This a survey of the US population. To start with I want to explore the data using pairs, plot, coplots and lattice. Are there specialized methods that handle survey weights for plotting? Any pointers? Anupam. [[alternative HTML version deleted]]

Hi all, I am trying to construct a frequency distribution graph i.e. suppose there is a variable *"k"* and it takes a range of values. What I want to do is to plot *"P(k)" *(probability/frequency of finding a specific value of *"k"*) vs *"k"*.I would like to get a smooth curve between "P(k) vs k". I have already tried

On Thu, 6 Jul 2023 at 15:21, Anupam Tyagi <anuptyagi at gmail.com> wrote: > > Btw, I think "lattice" graphics will provide a better solution than > "ggplot", because it puts appropriate (space saving) markers on the axes > and does axes labels well. However, I cannot figure out how to do it in > "lattice". You will need to convert Income to a

Thanks, John. However, loess.smooth() is producing a very different curve compared to the one that results from applying predict() on a loess(). I am guessing they are using different defaults. Correct? On Thu, 23 Mar 2023 at 20:20, John Fox <jfox at mcmaster.ca> wrote: > Dear Anupam Tyagi, > > You didn't include your data, so it's not possible to see exactly what >

Thanks! You are correct, the graphs look very similar, except ggplot is scaling the text font to make it more readable. Is there a way to scale down the x-axis labels, so they are readable? On Fri, 7 Jul 2023 at 12:02, PIKAL Petr <petr.pikal at precheza.cz> wrote: > Hallo Anupam > > I do not see much difference in ggplot or lattice, they seems to me > provide almost identical

Hallo Anupam I do not see much difference in ggplot or lattice, they seems to me provide almost identical results when removing theme part from ggplot. library(ggplot2) library(lattice) ggplot(TrialData4, aes(x=Income, y=Percent, group=Measure)) + geom_point() + geom_line() + facet_wrap(~Measure) xyplot(Percent ~ Income | Measure, TrialData4, type = "o", pch = 16, as.table =

Hello, I want to plot the following kind of data (percentage of respondents from a survey) that varies by Income into many small *line* graphs in a panel of graphs. I want to omit "No Answer" categories. I want to see how each one of the categories (percentages), "None", " Equity", etc. varies by Income. How can I do this? How to organize the data well and how to

Dear all, I have this directory structure : Dir1 Dir2 Dir3 Dir4 ......................... A.xml D.xml G.xml B.xml E.xml H.xml C.xml F.xml I.xml Within each of these directories (Dir1, Dir2 etc) there are a num of xml files (A.xml, B.xml etc). What I want to do is to enter into the first directory read all the xml files do certain operations

Hi all, Presently I have R-2.6 version installed on my system. Because of this I am unable to install certain packages.Will an "updatepackages()" command help or would I have to uninstall the older version of R and then install the newer versions ? Can anyone help me out ? Thanks in advance. Anupam Sinha [[alternative HTML version deleted]]

Hi all , I am facing some problems with 'ls' command. Whenever I use it I get the following error : ls("KEGG.db") Error in as.environment(pos) : no item called "KEGG.db" on the search list ls("pkgname") Error in as.environment(pos) : no item called "KEGG.db" on the search list and this is true for any package. Can anything be done

The list moderator has not updated email address from previous employer. i can not post to r-help. Is there a way around this? Anupam. [[alternative HTML version deleted]]

Dear Anupam Tyagi, You didn't include your data, so it's not possible to see exactly what happened, but I think that you misunderstand the object that loess() returns. It returns a "loess" object with several components, including the original data in x and y. So if pass the object to lines(), you'll simply connect the points, and if x isn't sorted, the points

For some reason the following code is not plotting as I want it to. I want to plot a "loess" line plotted over a scatter plot. I get a jumble, with lines connecting all the points. I had a similar problem with "lowess". I solved that by dropping "NA" rows from the data columns. Please help. library(stats) attach(gini_pci_wdi_narm) plot(ny_gnp_pcap_pp_kd, si_pov_gini)