similar to: ggplot- using geom_point and geom_line at the same time

Hi R users, I am new to R and am trying to merge data frames in the following way. Suppose I have n data frames each with two fields. Field 1 is common among data frames but may have different entries. Field 2 is different. Data frame 1: Src Target1 1 aaa 1 bbb 1 ccc 2 aaa 3 ddd Data frame 2: Src Target2 2 aaaa 3 dddd 4 bbbb 4

I installed some downloaded packages in R. I always do $sudo R CMD INSTALL <anRpackage.tar.gz> By default it is storing these packages into my directory /home/mary/R/x86_64-pc-linux-gnu-library/2.13/. However I want them to be systemwide into /usr/local/lib/R/site-library/ folder. I tried $sudo R R> install.packages("anRpackage", dep=TRUE) I did not succeed into getting

I installed some downloaded packages in R. I always do $sudo R CMD INSTALL <anRpackage.tar.gz> By default it is storing these packages into my directory /home/mary/R/x86_64-pc-linux-gnu-library/2.13/. However I want them to be systemwide into /usr/local/lib/R/site-library/ folder. I tried $sudo R R> install.packages("anRpackage", dep=TRUE) I did not succeed into getting

Hi R users, I try to read a data file (tab delimited format) in which some of the entries in a particular field are missing. Is it possible to fill the unavailable data with 'UnAvailable' string while performing read.table() Something like df = read.table(DataFile, header=FALSE, fill_missing_entry = 'unAvailable') 1 thanks -- ------------- Mary Kindall Yorktown Heights,

I have a value a=300 observation (x) = sample(1:50) How to find a p-value from this. I need to show that "a" is different fom mean(x). Thanks -- ------------- Mary Kindall Yorktown Heights, NY USA [[alternative HTML version deleted]]

I have two one dimensional list of elements and want to perform cbind and then write into a file. The number of entries are more than a million in both lists. R is taking a lot of time performing this operation. Is there any alternate way to perform cbind? x = table1[1:1000000,1] y = table2[1:1000000,5] z = cbind(x,y) //hanging the machine write.table(z,'out.txt) -- -------------

Hi I have a data frame with values in following format. param case1 1 a 2 b 2 c 2 d 3 e 4 f how to use aggregate so that it I only one row for each 'param' value. the output for the above input should be param case1 1 a 2 b,c,d 3 e 4 f Thanks M -- ------------- Mary

> > I have two dataframes and want to perform cbind and then write into a > file. The number of entries are more than a million in both frames. R is > taking a lot of time performing this operation. > > Is there any alternate way to perform cbind? > > x = table1[1:1000000,1:4] > y = table2[1:1000000,3:6] > > z = cbind(x,y) //hanging the machine > >

In a frequency distribution table (bell shaped), how can we find the most frequent range? for example: x = c(1,2, 4,4,4,4, 5,5,5,6,6,5,5,5,5,5,6,6,6,13, 17,17,30,100,300) barplot(table(x)) In the code above, which function do we use to find that the most frequent value range from 4 to 6. Thanks. -- ------------- Mary Kindall Yorktown Heights, NY USA [[alternative HTML version deleted]]

I am downloading say 100 files from ucsc website and storing it into dest folder. download.file function create a file in destination folder even if the file is not present which is something I dont want. So I wrote if condition to remove the file if the download function has non zero value. Now it exits when there is an error or file not present. How can I use "try" and "if"

Dear list, I've been using plotmeans {gplots} a lot before, and found the "connect" argument to be quite useful. I've moved to ggplot for several reasons, but would still like to connect lines conditionally, somehow. Is it possible to do? Small example: df <- data.frame(cat=LETTERS[1:4],num=rnorm(4)) ggplot(df, aes(x=cat, y=num)) + geom_point() +

Hi I have a data frame in the following form. There are two groups and for each 'width' relative frequency for group1 and group2 is given. How to plot this in R using ggplot or other package. Width relativeFrequency1 relativeFrequency2 1 100 0.0006388783 0.02265428 2 200 0.0022677303 0.02948625 3 300 0.0061182673 0.01739936 4 400 0.0152237225 0.02569902 5 500

I want to draw boxplot where the geom_points are displayed based on "ERBB2.MUT" subset and they should be displayed in the right box (based both on the "ERBB2.2064" field and "ERBB2_Status"). However, given my command I currently only see "red" points corresponding to "MUT" subset in one straight line corresponding to only "ERBB2.2064"

Hello, I have been struggling with this for a while, tried a few things, but no clean solution so far. Here is an example from the documentation for geom_line: ========================================== # Summarise number of movie ratings by year of movie mry <- do.call(rbind, by(movies, round(movies$rating), function(df) { nums <- tapply(df$length, df$year, length)

Hi Thanks Gabor for your suggestion. I am posting the code that worked for me. dataframe1 = data.frame(cbind(Src = c(1,1,1,2,3), Target1 = c('aaa','bbb','ccc','aaa','ddd'))); #must be data frame dataframe2 = data.frame(cbind(Src = c(2,3,4,4,4), Target2 = c('aaaa','dddd','bbbb','eeee','ffff'))); dataframe3 =

Dear R Users, I am quite surprised to see that mtext gives different results when it is used with 'pairs' and with "plot'. In the two following codes, it seems that the 'at' argument in mtext doesn't consider the same unit system. I would appreciate your comments on this issue. Sebastien ##### Pairs mydata<-data.frame(x=1:10,y=1:10) par(cex.main=1,

Dear All, I have this script: dat <- data.frame(Month = hstat$Date,C_avg = hstat$C.avg,C_stdev = hstat$C.stdev) ggplot(data = dat, aes(x = Month, y = C_avg, ymin = C_avg - C_stdev, ymax = C_avg + C_stdev)) + geom_point() + geom_line() + geom_errorbar() dat <- data.frame(Month = hstat$Date,K_avg = hstat$K.avg,K_stdev = hstat$K.stdev) ggplot(data = dat, aes(x = Month, y = K_avg,

I am planning to download a large number of files from some website. I am using the following script. files2down = c('aaa', 'bbb', ................) for (i in 1: len) { print(paste('downloading file', i, ' of total ', len)); url = paste(urlPrefix, files2down[i], sep='') destfile = paste (dest, 'inDir', files2down[i], sep='/' )

I have a list of txt files that I want to convert into .rdata R data object. filenames 1. "./file1.txt" 2. "./file2.txt" 3. "./file3.txt" 4. "./file4.txt" 5. "./file5.txt" 6. "./file6.txt" 7. "./file7.txt" 8. "./file8.txt" 9. "./file9.txt" 10. "./file10.txt" I saved these files as for ( i in

Hi, I have this script: dat <- data.frame(X = halistat$Date,Y1 = halistat$avg,Y2 = halistat$stdev) ggplot(data = dat, aes(x = X, y = Y1, ymin = Y1 - Y2, ymax = Y1 + Y2)) + geom_point() + # points at the means geom_line() + # if you want lines between pints geom_errorbar() # error bars, Y1 - Y2 and Y1 + Y2 halistat$Date values: 29/1/10 21/2/10 30/3/10 30/4/10 30/5/10 In the resulted