search for: wind's

...he non-standardised values of B that R has given me. The code I have used, and some of the data, is as follows (once the database has been imported from SQL, and outliers removed). Z1sub <- Z1[, c(2, 5, 7,11, 12, 13, 15, 16)] colnames(Z1sub) <- c("temp", "hum", "wind", "press", "rain", "s.rad", "mean1", "sd1" ) attach(Z1sub) names(Z1sub) Model1d <- lm(mean1 ~ hum*wind*rain + I(hum^2) + I(wind^2) + I(rain^2) ) summary(Model1d) Call: lm(formula = mean1 ~ hum * wind * rain + I(hum^2) + I(wind^2) +...

Aloha all, I love using ggplot. It took a while to get used to the grammar of graphics, but it is starting to get easy now that I am thinking in a more structured way. A question. I'm making a wind rose that I'd like to be oriented with due north straight up. I've discovered that the orientation is sensitive to how north is represented. When north is represented as 0, the orientation looks to be shifted just a bit counter-clockwise, perhaps 10 degrees. When north is represe...

Hi List, I am trying to create a spatial representation of some wind data. I have the season, frequency, strength and direction of the wind from 10 different locations, the coverage of the area that I am interested in is not 100% there are small gaps in my coverage due to the location of the weather stations. I am trying to create a series of wind maps e.g. the Pr...

..., Very surprising (to me!) and mystifying result from predict.glm(): the predictions vary depending on whether or not I use ns() or splines::ns(). Reprex follows: library(splines) set.seed(12345) dat <- data.frame(claim = rbinom(1000, 1, 0.5)) mns <- c(3.4, 3.6) sds <- c(0.24, 0.35) dat$wind <- exp(rnorm(nrow(dat), mean = mns[dat$claim + 1], sd = sds[dat$claim + 1])) dat <- dat[order(dat$wind), ] m1 <- glm(claim ~ ns(wind, df = 5), data = dat, family = binomial) m2 <- glm(claim ~ splines::ns(wind, df = 5), data = dat, family = binomial) # The model coefficients are the sa...

A wind rose plot omits time information. Your request is simply not possible. On October 30, 2024 3:48:03 AM PDT, javad bayat <j.bayat194 at gmail.com> wrote: >Dear all; >I am searching for a way to extract wind direction and speed from a wind >rose plot. I have a graph and I want to make...

David, Following on from Jim Lemon's suggest that polar plots might be more what you need, there are both wind rose and polar plot functions in the openair package that might be of use (particularly windRose and polarFreq). They will not do everthing you are after without some careful conditioning or extra work with latticeExtra, but could get you some of the way there. Karl Ropkins, > > > Hi...

Dear all; I am searching for a way to extract wind direction and speed from a wind rose plot. I have a graph and I want to make a dataframe of 5 years with hourly intervals. > start_date <- as.POSIXct("2019-01-01 00:00:00") > end_date <- as.POSIXct("2023-12-31 23:00:00") > time_sequence <- seq(from = start_dat...

Probably a stupid question, but I don't seem to be able to find the answer I'm looking for from any of the R literature. Basically I have a matrix with several thousand rows and 20 columns(weather stations) of wind direction data. I am wanting to extract a matrix which contains data for all columns conditional on column 20 having a value of _either_ less than 45 or greater than 315. (ie I want to extract a matrix which contains wind direction data for all columns {weather stations} when there is a prevailing...

R-help, I'm using the "update" command for a multiple regression model and it is just not working: > update(model1, . ~ . – temp:wind:rad,data=ozone.pollution) Error: unexpected input in "model2<-update(model1, . ~ . –" > summary(model1) Call: lm(formula = ozone ~ temp * wind * rad + I(rad^2) + I(temp^2) + I(wind^2), data = ozone.pollution) Residuals: Min 1Q Median 3Q Max -38.894 -11.205...

Hi I'm using polygon to delimit an area on a plot. However my intention is to "superpose" the outside area of the polygon (I want to cover an extrapolation of contour(interp(...)). Is there an easy way of doing it ? Thanks EJ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hello, are there people outside who use R for analysis of wind-measurement data (meteorological or for planning of wind power stations)? Are there already scripts/modules available for analysing and displaying/plotting wind data in the way it is done in projection/planning of wind power stations? If not, would it be of interest to use R for this, and therefo...

...there is no 'id' specified), and the NAs in 'x' generate two separate polygons, which get drawn one on top of the other. The correct analogy to the polypath() example is ... x2 <- matrix(x[!is.na(x)], ncol=2) grid.path(x2[,1], x2[,2], id=rep(1:2, each=4), rule="winding", gp=gpar(="#BEBEBE80")) ... which produces the same (wrong) result as polypath() on Windows. Also, the grid.path() result for your example is NOT the same as the correct result; we do NOT want a separate shade for the intersecting region when the "winding" fill rul...

Dear list, I trying to make a wind rose plot whit the command oz.windrose, from plotrix package. My data, a matrix of percentages with the rows representing speed ranges and the columns indicating wind directions was generated using bin.wind.records command from same package: [,1] [,2] [,3] [,4] [,5] [,6...

Hi All, This is a question not directly related to R itself, it's about how to deal with missing data. I want to build wind roses i.e. circular histograms of wind directions and associated speeds to look for trends or changes in the wind patterns over several decades for some meteo stations. The database I have contains hourly records of wind direction and speed over the past 50 years.......obviously that's a huge d...

...(airquality, id=c('month', 'day')) With reshape I can cast with multiple functions: > library(reshape) > cast(x, month+variable~., c(mean,sd)) month variable mean sd 1 5 ozone 23.615385 22.224449 2 5 solar.r 181.296296 115.075499 3 5 wind 11.622581 3.531450 4 5 temp 65.548387 6.854870 5 6 ozone 29.444444 18.207904 6 6 solar.r 190.166667 92.882975 7 6 wind 10.266667 3.769234 8 6 temp 79.100000 6.598589 9 7 ozone 59.115385 31.635837 10 7 solar.r 216.483871 80.5683...

...t;> > Hi, oh dear - sorry about that > > I appreciate the deeper explanation, I knew about the id aspect in grid, > but just forgot in my haste. > > I'll be more careful with examples if I find any more clues. > > I've found a possibly related issue, again only on Windows as far as I can see. These two plots give different results, the second is completely transparent rather than the expected light blue region on the left. Whether it works or not seems to depend on the specific geometry of the device and *not on the specific xlim interval chosen*. I can get the...

Hi, I see different results in png() and pdf() for polypath() on Windows when using the "winding" rule ## overlapping, both clock-wise x <- cbind(c(.1, .1, .6, .6, NA, .4, .4, .9, .9), c(.1, .6, .6, .1, NA, .4, .9, .9, .4)) pfun <- function() { plot(x) polypath(x * 0.8 + 0.2, rule = "winding", col = "#BEBEBE80")...

hi R users: I have a dataset including u wind in x-axis and v wind in y-axis. How can I plot the u,v wind data in vector or barb figure? which command ? thank you . -- TANG Jie [[alternative HTML version deleted]]

Hi, I'm dealing with wind data and I'd like to model their distribution in order to simulate data to fill-in missing values. Wind direction are typically following a vonmises distribution and wind speeds follow a weibull distribution. I'd like to build a joint distribution of directions and speeds as a VonMises-Weib...

I have a problem that deals with correlating wind velocity to seed collection data. The problem lies in that I have a wind data set that is contains 2000+ data points and weed collection data on the order of a couple hundred. Both data sets were collected for the same time period, but there is not a one-to-one wind velocity->seed location mat...