similar to: Passing R connection as argument to a shell command on Windows

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

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

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, 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

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 =

I get unexpected behavior from "readLines()" and "scan()" depending on how the file is opened with "gzfile" or "unz". More specifically: > file <- gzfile("file.gz") > readLines(file,1) [1] "a\tb\tc" > readLines(file,1) [1] "a\tb\tc" > close(file) It seems that the stream is rewound between calls to readLines.

I am having problems getting the unz() function to work as a connection to start reading a file... z <- unz("c:/temp/stoxx.zip", "close_tmi_components.txt", "r") readLines(z,2) yields the following problems: > z <- unz("c:/temp/stoxx.zip", "close_tmi_components.txt", "r") Error in unz("c:/temp/stoxx.zip",

Hi, I have downloaded a bunch of bz2 files. I wonder if R will be able to unzip them in a batch mode or even one at a time? I was looking at the unz function. But it didn't work well. Say I have a bz2 file in H:/Temp/65502805_532.pair.bz2. Anyone has any suggestion? thanks John > setwd("H:\\Temp\\") > getwd() [1] "H:/Temp" >

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

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)

I would greatly appreciate some example of correct usage of function unz. I have to download and uncompress the following web compressef file: ftp://ftp.sanger.ac.uk/pub/mirbase/targets/v5/arch.v5.txt.homo_sapiens.zip I tried the following command that does not work: Targets.rec <- readLines(zz <- unz("ftp://ftp.sanger.ac.uk/pub/mirbase/targets/v5/arch.v5.txt.homo_sapiens.zip"))

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

Is there something in R that will display both observed values and their influence on calculated statistics? Anupam.

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

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.

A quick question please! How do you rename column names? i.e. V1 --> Apple; V2 --> Orange, etc. thx much ej [[alternative HTML version deleted]]

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

Hi Sorry, I am clearly missing something here. I want to read this file directly: ftp://ftp.sanger.ac.uk/pub/mirbase/targets/v5/arch.v5.txt.gallus_gallus. zip I tried using read.table(gzfile("ftp://ftp.sanger.ac.uk/pub/mirbase/targets/v5/arch.v5 .txt.gallus_gallus.zip")) But I got an error: Error in open.connection(file, "r") : cannot open the connection In addition:

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,

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