similar to: Problems producing a simple plot

Dear R Users, I am executing the following command to produce a line graph: matplot(aggregate_1986[,1], aggregate_1986[,2:3], type="l", col=2:3) On the x-axis I have values of Latitude (in column 1) ranging from -60 to +80 (left to right on the x-axis). However, I wish to have these values shown in reverse on the x-axis, going from +80 to -60 (ie. North to South in terms of Latitude).

Dear all, I have a big file containing latitude points(-10 to 80) and corresponding values. Example data Lat=c(69.48134, 69.49439, 69.50736, 69.52026, 69.52438, 69.53308, 69.53746, 69.54365, 69.54582, 69.6884, 69.69272, 69.998, 70.00055, 70.00106, 70.00295, 70.00308, 70.00363, 70.00427, 70.00665, 70.00906, 70.01049, 70.01053, 70.01075, 70.01208, 70.01236, 70.01418, 70.01452, 70.01646,

I am trying to plot positions on a grid where the x and y axis equate to longitudinal and latitudinal co-prdinates respectively. As these co-ordinates are southings and westings, i need the origin of my graph to contain the two highest values of each co0ordinate, with the values decreasing in both respects along both axes - I cannot seem to find any function within r to allow me to do this. Also,

Dear R-helpers, I get GPS readings with bug counts (bugs meaning insects in this case) made along rows in crop fields and use these to make maps of bug distribution. The GPS readings are not quite accurate enough for my purpose, so since I know what row each reading is made in, I adjust the latitudinal coordinate using: grd<-lm(lat~lon+Row,data)

Dear all, I have a data frame of three columns, which I have sorted by Latitude as follows: > test2[60:80,] Latitude Longitude Sim_1986 61948 85.25 -29.25 2.175345 61957 85.25 -28.75 8.750486 61967 85.25 -28.25 33.569305 61977 85.25 -27.75 23.702572 61988 85.25 -27.25 26.488602 62000 85.25 -26.75 23.915724 62012 85.25 -26.25 25.055082 62027

Hi, QUESTION TOPIC #1 I have some data I want to plot on a map. But what I have are home addresses: street, City, State, complete postal code--i.e 95377-1234. Is there a way to plot this data or do I need latitudinal and longitude coordinates? If so how do I convert them? Is there a package that will do the conversion in R? QUESTION TOPIC #2 I was trying to experiment with this code that I found

Dear all, I'm having trouble interpolating a number of gridded datasets that I have. I'm quite new to R so any help/advice that can be offered would be much appreciated! Firstly I'll describe my dataset. The data is a grid of the planet at 1 degree spatial resolution, with each grid cell containing a value describing a particular variable (e.g. population density) for coordinate

Hi, I've extracted netcdf data in R, and am trying to output it in a matrix format. I can make the matrix, and I have the data, but I can't get the matrix to include the data... I'm not very experienced at using R, so please forgive the crudeness of these codes... # For the matrix wind_dir_data<-matrix( NA, 17, 365 , byrow = FALSE ) wind_speed_data<-matrix( NA, 17, 365,

Hello, Could anybody offer any advice about implementing a Kohonen self organizing map for categorical data? Specifically I am wondering if there are any pre-existent packages that can deal with categorical data and/or how one would compare the input vector of categoricals with the self organizing map nodes. Thanks in advance. George Chen ----- Original Message ----- From: r-help-request at

Hello everyone I have a dataframe with 4 colums (year, month, day, runoff) for 1993-2009. Now I like to calculate the average runoff for each day. Finally I like to plot the median runoff for all this years. I tried with some loops, but it didn't work. Do you have any Tips for my problem? Any help is greatly appreciated! Thank you very much. Dominique -- View this message in context:

Hi, For my master thesis I have 24 micro-plots on which I did measurements during 3 months. The measurements were: - Rainfall and runoff events throughout 3monts (runoff being dependant on the rainfall, a coefficient (%) has been made per rainfall event and per 3 months) - Soil texture (3 different textures were differentiated) - Slope (3 classes of slopes) - Stoniness (one time measurement)

Hi I think I have been struggling to use replace correctly, I usually work my way around this using a loop, but I think this is in fact inefficient. I have a dataset with runoff from three plots and associated rainfall. However either the datarecording was sloppy, or the rainfall very patchy. So I am trying to remove data from my dataset for which the runoff is larger than the rainfall on the

Dear R-Help, I have a generated file that looks like the following: ----- Begin file ----- # # Output File # float Version 2002.700000000000 int Numdays 31 int NumOFEs 1 # # Hillslope-specific variables # char HillVarNames[ 3 ] {Days In Simulation} {Hillslope: Precipitation (mm)}

Dear list, I did simulations in which I generated 10000 independent Bernoulli(0.5)-sequences of length 100. I estimated p for each sequence and I also estimated the conditional probability that a one is followed by another one (which should be p as well). However, the second probability is significantly smaller than 0.5 (namely about 0.494, see below) and of course smaller than the direct

Hello, I have a question regarding a way to control the appreance of output exported by R when I use capture.output( x, file = "Directory/file.txt") , I get a text file which when I paste to a word file looks like the first table below. The following table has its clumns spaced closely so when I paste it to a word file it looks continuous. Is there any option in R to make the outputs

Hi, I'm attempting to add a "Julian Day" column to a data frame. Here is my code and the resulting data frame: vic.data <- read.table("C:/VIC/data/vic.data.csv", header=F) names(vic.data) <- c("year", "month", "day", "precip", "evap", "runoff", "baseflow", "Tsup",

Hello This is Elaine. I am using package lattice to generate boxplots. Using Richard's code, the display was almost perfect except the outlier shape. Based on the following code, the outliers are vertical lines. However, I want the outliers to be empty circles. Please kindly help how to modify the code to change the outlier shapes. Thank you. code package (lattice) dataN <-

Dear all, I am attempting to convert 10 NetCDF files into a single NetCDF file, due to the data input requirements of a model I hope to use. I am using the ncdf package, version 1.6. The data are global-scale water values, on a monthly basis for 10 years (ie. 120 months of data in total; at present the data are separated by year, with 12 months of data in each file - mrunoff_1986 through to

Dear all, I am attempting to convert 10 NetCDF files into a single NetCDF file, due to the data input requirements of a model I hope to use. I am using the ncdf package, version 1.6. The data are global-scale water values, on a monthly basis for 10 years (ie. 120 months of data in total; at present the data are separated by year, with 12 months of data in each file - mrunoff_1986 through to

Looks like the c(x)[...] bit used to be as.matrix(x)[...]. Not sure why the change was made many years ago, but this was before names were handled explicitly. It would definitely be better to not force the duplicate, at least in the case where we are sure c() and [ would not dispatch. Best, luke On Mon, 4 May 2015, peter dalgaard wrote: > >> On 04 May 2015, at 19:59 , franknarf