similar to: scatterplot to boxplot translation?

Thanks to David and Jorge - both of your helpful suggestions got me to the desired endpoint. In case anyone else has this question: I boxplotted my y variable data, but did the "cut" operation on the x variable in order to conserve the order of the y data. I see another suggestion coming in from another user that basically says this. So, my working line of code was: boxplot(count$RPKM

Hello R users, I have a set of data frames for which I am tallying row numbers, as shown below. > nrow(mC_Explant) [1] 14480 > nrow(mC_Callus) [1] 23320 > nrow(mC_RegenPlant) [1] 8108 etc. I want to create a new data frame which has the variable names as column headings, and then a single row with the nrow tallies. My first step was this: dfIntron <- c(nrow(mC_Explant),

Dear R list, I am a newbie to R and programming itself, so my question may be easy to answer for you. I wanted to create a scatterplot and i used the following code: par(mar=c(10, 4.1,4.1,2.1)) plot(q$location,q$points, , las=2, cex.axis=0.5,xlab="", ylab="" ) #location are character strings, there are about 70 locations #points are numeric, there are more than 4 points for

Hello- I'm new to R, coding and stats. (Oh no.) Anyway, I have about 12000 data points in a data.frame (dealing with dimensions and geological stage information for fossil protists) and have plotted them in a basic scatter plot. I also added a boxplot to overlay these points. Each worked fine independently, but when I attempt to superimpose them with add=true, I get a different scale for

Hello R users. This is a fairly basic question: I am concatenating data from sets of files in a directory using a loop. The column names in all files are exactly the same. My understanding is that rbind takes column names from the first file it reads. However, my output is showing that the column names are treated as a first data row, not treated as headers. I compile my file names like this:

Dear useRs, I have a slightly complicated data structure and am stuck trying to extract what I need. I'm pasting an example of this data below. In some cases, there are duplicates in the "gene_id" column because there are two different "sample 1" values for a given "sample 2" value. Where these duplicates exist, I need to average the corresponding

Dear useRs, A colleague has sent me several batches of output I need to process, and I'm struggling with the format to the point that I don't even know how to extract a test set to upload here. My apologies, but I think that my issue is straightforward enough (for some of you, not for me!) that you can help in the absence of a test set. Here is the scenario: # Data sets are lists: >

Hello R folks, I am encountering a problem with the following scatterplot function from the car package: > scatterplot(y~x|z) where y and x are continuous (interval) random variables and z is a categorical variable. When z is a categorical variable coded 1 or 2, I (appropriately) get a scatterplot of y by x, coded by z. Similarly, when z is a categorical variable coded 1, 2, or 3, there is

I am trying to use scatterplot function in CAR like the following: scatterplot(X~Y) I want to label X points and Y ponits using the different color. Any idea for this? Aimin

Dear UseRs, I'm making box plots from a data set that looks like this: Chr Start End GeneDensity ReadCount_Explant ReadCount_Callus ReadCount_Regen 1 1 1 10000 107.82 1.243 1.047 1.496 2 1 10001 20000 202.50 0.835 0.869 0.456 3 1 20001 30000 158.80 1.813 1.529 1.131

Hello Everyone- I'm in the process of slowly learning R and am having a little bit of trouble plotting an extra line onto a scatterplot. I'm sure the answer is quite simple but I am stumped. The code I am using is: headways <- read.table("headways.csv", header=TRUE, sep=",", na.strings="", dec=".", strip.white=TRUE) plot.new()

for a simple scatterplot: plot(X ~ Y, type = 'p', col = 'red') this produces red-edged circles, but I want to fill in the circles. can this be done? I checked '? plot' already but couldn't find what I was looking for. cheers -- View this message in context: http://r.789695.n4.nabble.com/scatterplot-with-filled-circles-tp3044690p3044690.html Sent from the R

I am getting an error message from scatterplot: > library(car) > scatterplot(Prestige$income~Prestige$type) Error in Summary.factor(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, : range not meaningful for factors In addition: Warning message: In Ops.factor(x[floor(d)], x[ceiling(d)]) : + not meaningful for factors > The command does output the kind of graph that I want (boxplots).

Dear all, I'm trying to use "scatterplot" from package "car" to get a scatterplot with row-names as labels and I want my data to be divided into two groups defined by the column "tresh". Leaving away the groups-command gives me the right labels but they are not distinguished by colors according to "tresh". Does anybody know why the following example

Dear R users, I'm interested in a combination of a scatterplot and an image graph. I have two large vectors. Because in the scatterplot some areas are sparsely and others densely populated, I want to see the points, and I also want their color to be changed based on their density (similar to a heat map). Is there a function that can do that? Thank you, b.

Hi All, I'm trying to do a Scatterplot (package: car), and add a line (just for reference). There is my code: #------------------------------------Code--------------------------------------------------- library("car") library("calibrate") G_T<-c("car","bike","boat") ave<-c(80,10,45) perf<-c(100,80,75) df2<-data.frame(G_T,ave,perf)

Hello everybody, I'm trying to understand how to draw a smoothed scatterplot on a geographic map with R. Have a dataframe with point locations (long, lat) and was able to simply plot these points on a shp map by using the maptools package. However, instead of having simply the raw points on the map, I would like to have a "smoothed" scatterplot of the same superimposed on the map.

Hi R-listers, Q1) What is the difference between the scatterplot and plot function? Q2) I am able to make a graph with the scatterplot function: scatterplot(DevelopIndex ~ Veg, + data = Turtle, + xlab = "Vegetation border (m)", + ylab = "Embryonic development index") And have been successful. But I do not know if the lines are for:

I'm using pairs() to generate a scatterplot matrix; pairs(~ Fuzzy.gray.white.ratio+Fuzzy.gw.t.score+AgeWhenTested+signal_mean.noise, data=datam,subset=status=="control",main="Controls", labels=c("G/W","Peak Separation","Age","S/N")) How can I add regression lines to the plots?

I am running R version 2.15.1 in Windows XP I am having problems with a function I'm trying to create to: 1. subset a data.frame based on function arguments (colname & parmname) 2. rename the PARMVALUE column in the data.frame based on function argument (xvar) 3. generate charts plotvar <- function(parentdf,colname, parmname,xvar,yvar ){ subdf <-