similar to: plotting

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

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

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

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

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 =

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

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)

? Thu, 8 Aug 2024 12:43:23 +0530 Anupam Tyagi <anuptyagi at gmail.com> ?????: > In open.connection(con, "rb") : > URL > 'https://api.worldbank.org/v2/en/country/OED/indicator/NY.ADJ.NNAT.GN.ZS?format=json&date=1977:2020&per_page=32500&page=1': > Timeout of 60 seconds was reached If you try to open the link in the browser, does it work? How long

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". On Thu, 6 Jul 2023 at 15:11, Anupam Tyagi <anuptyagi at gmail.com> wrote: > Hi John: > > Thanks! Below is the data using your

Hi Anupam, Haven't heard from you in a long time. Perhaps you want something like this: 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

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

Reposting the data did not help. We do not like to guess, and doing so takes a great deal of time that is likely wasted. Rows are observations. Columns are variables. In Excel, the first row will be variable names and all subsequent rows will be observations. Income is the first variable. It has seven states: $10, $25, $40, $75, >$75, "No", "Answer" MF is the second

Hi John: Thanks! Below is the data using your suggestion. I used "ggplot" to make a graph. I am not too happy with it. I am looking for something simpler and cleaner. Plot is attached. I also tried "lattice" package, but nothing got plotted with "xyplot" command, because it is looking for a numeric variable on x-axis. ggplot(TrialData4, aes(x=Income, y=Percent,

Hi, I am trying to read the following type of data from a .csv file to form an irregular time series object. I want to use it with the VaR package. How do I read it in correctly to an irregular time series object? Anupam. date,Open,High,Low,Close,Volume,OpenInterest,Contract 1972-08-16,54.25,54.25,54.25,54.25,1,1,KC1973H 1972-08-17,54.25,54.25,54.25,54.25,0,1,KC1973H

Hello, is there a way to pass a connection to a file in a zipped archive as argument (instead of a file name of unzipped file) to shell command "cut". In general, is it possible to pipe output of a R function to a shell command? How? I want to do something like: z = unz("zipArchive.zip", "fileASCII.ASC") # open connection open(z) # cut lines of the ASCII file in

Is there a way to set NA values in R, without changing the dataframe? I would like to use different combinations of non-response values, as if they were NA for some of the computations. I don't want to change the dataframe each time I have to do this? Anupam.

Anupa, I think your best bet with your data would be to tidy it up in Excel, read it into R using something like the readxl package and then supply some sample data is the dput() function. In the case of a large dataset something like dput(head(mydata, 100)) should supply the data we need. Just do dput(mydata) where *mydata* is your data. Copy the output and paste it here. On Thu, 29 Jun 2023

Hello, I can't seem to save (or find the default location) when I use the Window Graphic Device's pull down menu. It does not seem to save to the directory I have set using "setwd(...)". How do I make the pull down menu's work? What is the best format to save R graphics for inclusion into a LaTeX documents? I will use PdfTex, or LaTeX -> PS -> PsToPdf to generate the

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 >

There is some problem getting data with the WDI package. It gets data from World Development Indicators and other databases of The World Bank. I let the code run for several minutes and nothing happens. Sometimes it gives a time out message. I ran the same code last year and it worked. Any idea what the problem is and how to fix it? > dat1EU = WDI(indicator = c('NY.ADJ.NNAT.GN.ZS',