Re: [R] Steps to create spatial plots

the latest ggplot from github (to be installed with `devtools:install_github()`) has support for SF objects too, it's a treat! However, sf is not exactly designed for raster data. Of course you can make each of your cells be a square polygon, but it's not the most efficient way for big datasets.

Re: [R] Steps to create spatial plots

If layer$z is a matrix and you want to reverse the order of the rows, you can do: n <- nrow(layer$z) layer$z <- layer$z[ n:1, ] HTH, Eric On Tue, Jan 16, 2018 at 8:43 AM, lily li wrote: > Sorry for the emails, I just wanted to have an example. > layer$z > > 1 1 3 4 6

Re: [R] Steps to create spatial plots

Sorry for the emails, I just wanted to have an example. layer$z 1 1 3 4 6 2 2 3 4 1 2 9 1 4 5 2 1 8 How to convert the matrix to layer$z = c(1, 4, 5, 2, 1, 8, 2, 3, 4, 1, 2, 9, 1, 1, 3, 4, 6, 2)? I think this vector is the order that levelplot can use. Thanks again. On Mon, Jan

Re: [R] Steps to create spatial plots

Hi Bert, I think you are correct that I can use levelplot, but I have a question about converting data. For example, the statement: levelplot(Z~X*Y), Z is row-wise from the lower left corner to the upper right corner. My dataset just have gridded Z data as a txt file (or can be called matrix?),

Re: [R] Steps to create spatial plots

The projection is UTM zone, but I meant that I don't have coordinates for each grid cell, rather, I have coordinates for the upper left corner. The attribute layer is elevation for each grid cell for example, I assume that I need to create coordinates for the grid cells first? Thanks. On Mon, Jan

Re: [R] Steps to create spatial plots

From your description, I am **guessing** that you may not want a "spatial map" (including projections) at all, but rather something like a level plot. See ?levelplot in the lattice package for details. Both I am sure ggplot2 has something similar. Apologies if I havemisunderstood your

Re: [R] Steps to create spatial plots

Hi Roman, Thanks for your reply. For the spatial coordinates layer, I just have coordinates of the upper left corner, numbers of rows and columns of the spatial map, and grid cell size. How to create a spatial layer of coordinates from this data? Thanks. On Mon, Jan 15, 2018 at 3:26 PM, Roman

Re: [R] Steps to create spatial plots

Also note that there is an R-sig-geo mailing list dedicated to this topic. You might also like to look at [1] for more on coordinate projections. [1] https://www.nceas.ucsb.edu/~frazier/RSpatialGuides/OverviewCoordinateReferenceSystems.pdf On Mon, 15 Jan 2018, Roman Lu?trik wrote: You will

Re: [R] barplot that displays sums of values of 2 y colums grouped by different variables

It is not generally advisable to get too fancy with stat functions in ggplot... things can easily get more complicated than ggplot is ready to handle when it comes to calculations. It is better to create data that corresponds directly to the graphical representations you are mapping them to.

Re: [R] Steps to create spatial plots

You will need to coerce your data into a "spatial" kind, as implemented in `sp` or as of late, `sf` packages. You might want to give the vignettes a whirl before you proceed. Roughly, you will have to coerce the data to Spatial* (you could go for a point, raster or grid type, I think) and also

[R] Steps to create spatial plots

Hi users, I have no clear clue about plotting spatial data. For example, I just have a table with attribute values of each grid cell, such as elevation. Then I have coordinates of the upper left corner in UTM, the number of rows and columns, and grid cell size. How to create spatial plot of

Re: [R] barplot that displays sums of values of 2 y colums grouped by different variables

Hi Kenneth, I don't know about ggplot, but perhaps this will help: kddf<-read.table(text="city n y mon 100 200 tor 209 300 edm 98 87 mon 20 76 tor 50 96 edm 62 27", header=TRUE,stringsAsFactors=FALSE) library(plotrix) barpos<-barp(t(kddf[,2:3]),names.arg=kddf[,1],xlab="City",ylab="Sum",

Re: [R] Time-dependent coefficients in a Cox model with categorical variants

> On Jan 15, 2018, at 12:58 AM, Max Shell wrote: > > Suppose I have a dataset contain three variants, looks like >> head(dta) > > SextumorsizeHistology time status >01.52 12.1000 0 >1

Re: [R] barplot that displays sums of values of 2 y colums grouped by different variables

https://stackoverflow.com/questions/25070547/ggplot-side-by-side-geom-bar On Mon, Jan 15, 2018 at 9:39 PM, Kenneth Dyson wrote: > Hi Eric, > > Thanks for the detailed response. > This is not exactly what I want to do but is close. > I want 2 bars for each city, 1

Re: [R] barplot that displays sums of values of 2 y colums grouped by different variables

'position="dodge"' has no effect in the plot because the x-axis is a factor variable. The bars do not need to be moved to avoid each other. The 'aes(fill=y)' is specifying that you want the color gradient to capture the sums in the 'y' variable. You might be better off to use 'no' and 'yes' rather

Re: [R] About levene.test

For your and perhaps other's reference, the RStudio version has nothing to do with this. Rstudio is merely a a GUI IDE for R itself, and it's the R (or R package) version that matters. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking

Re: [R] About levene.test

Dear Mariano, See the function leveneTest() in the car package. I hope that this helps, John - John Fox, Professor Emeritus McMaster University Hamilton, Ontario, Canada Web: socialsciences.mcmaster.ca/jfox/ > -Original Message- > From: R-help

[R] About levene.test

Hi, What package(s) must I install so that I can apply the Levene' test in my data? I tried 'lawstat' but dependency ‘VGAM’ is not available for this package. I am using Rstudio Version 1.1.383 Tks [[alternative HTML version deleted]] __

Re: [R] consolidate three function into one

"Good" tutorials are a matter of personal taste -- what's good for me may be terrible for you, and vice-versa. One set of recommendations is here: https://www.rstudio.com/online-learning/#R but you may do even better by web search on "R tutorials" or "Writing R function tutorials" and the like.

Re: [R] consolidate three function into one

Thank you, your suggestion is simpler and logically better. I had impression that the last object in a function gets returned, so I did not add the print function at the bottom line of the function definition. Returning an object and graph the object are different process, I am a beginner for

Re: [R] consolidate three function into one

That is certainly OK, but you can also just use print(ggsurvplot(...)) as your final statement. out <- RFS( ...) would then return the ggsurvplot object *and* graph it. Any good R tutorial or a web search will provide more details on function returns, which you might find useful. Cheers,

Re: [R] consolidate three function into one

Hi Richard, Thank you so much!! I understand the problem now, I assign a name to the "ggsurvplot" object and then add print(fig) at bottom of function definition, now figure gets printed on screen. Ding # function to generate RFS curves RFS <- function( inputfile, N ) { cluster<-

[R] barplot that displays sums of values of 2 y colums grouped by different variables

I am trying to create a barplot displaying the sums of 2 columns of data grouped by a variable. the data is set up like this: "city" "n" "y" mon 100 200 tor 209 300 edm 98 87 mon 20 76 tor 50 96 edm 62 27 the resulting plot should have city as the x-axis, 2 bars per city, 1

Re: [R] sum multiple csv files

Your message seems unclear, and as evidence the respondents are giving various answers. You should provide a small sample of input and output data as it would look in R to avoid this kind of thrashing about. See [1][2][3] for guidance. Note that you also really need to figure out how to make

Re: [R] max and pmax of NA and NaN

> Michal Burda > on Mon, 15 Jan 2018 12:04:13 +0100 writes: > Dear R users, is the following OK? >> max(NA, NaN) > [1] NA >> max(NaN, NA) > [1] NA >> pmax(NaN, NA) > [1] NA >> pmax(NA, NaN) > [1] NaN > ...or is it a

Re: [R] sum multiple csv files

Hi see in line > -Original Message- > From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Alejandra > Lopez-Galan > Sent: Monday, January 15, 2018 10:29 AM > To: r-help@r-project.org > Subject: [R] sum multiple csv files > > Hi, I am pretty new to R and I would apreciatte

Re: [R] sum multiple csv files

Alejandra Lopez-Galan writes: Hello, I'm not sure to fully answer you question but I'll give it a try. I'll use the library "data.table" as I forgot how to do it in base R. If you don't have it you will have to install it by doing > install.packages(data.table,repos

[R] max and pmax of NA and NaN

Dear R users, is the following OK? > max(NA, NaN) [1] NA > max(NaN, NA) [1] NA > pmax(NaN, NA) [1] NA > pmax(NA, NaN) [1] NaN ...or is it a bug? Documentation says that NA has a higher priority over NaN. Best regards, Michal Burda [[alternative HTML version deleted]]

[R] sum multiple csv files

Hi, I am pretty new to R and I would apreciatte very much your help to solve my problem. I have 40 csv files that have the same structure, and I want to merge them into a single data frame. I already have load and combined all the cvs files into a large list, and I created two filenames <-

[R] Time-dependent coefficients in a Cox model with categorical variants

Suppose I have a dataset contain three variants, looks like > head(dta) SextumorsizeHistology time status 01.52 12.1000 0 11.81 38.4000 0 . Sex: 1

Re: [R] SpreadLevelPlot for more than one factor

Dear Sir, Many thanks and Best Regards, Ashim. On Sun, Jan 14, 2018 at 9:05 PM, Fox, John wrote: > Dear Ashim, > > I’ll address your questions briefly but they’re really not appropriate for > this list, which is for questions about using R, not general statistical >