r

问题 Goal: To create interactive dropdown/buttons to update the axes' scale for a Plotly figure from R. Issue: There is a lot of documentation on creating buttons and log plots using layout and updatemenus ; however, it was difficult to find one that described how a button could be added specifically for changing the scale of the axes. Some posts on stackoverflow provided solutions for doing this in python but I struggled to find an equivalent one for R. I have provided a solution/example here

问题 Goal: To create interactive dropdown/buttons to update the axes' scale for a Plotly figure from R. Issue: There is a lot of documentation on creating buttons and log plots using layout and updatemenus ; however, it was difficult to find one that described how a button could be added specifically for changing the scale of the axes. Some posts on stackoverflow provided solutions for doing this in python but I struggled to find an equivalent one for R. I have provided a solution/example here

问题 I would like to do a large analysis using bootstrapping. I saw that the speed of bootstrapping is increased using parallel computing as in the following code: Parallel computing # detect number of cpu library(parallel) detectCores() library(boot) # boot function --> mean bt.mean <- function(dat, d){ x <- dat[d] m <- mean(x) return(m) } # obtain confidence intervals # use parallel computing with 4 cpus x <- mtcars$mpg bt <- boot(x, bt.mean, R = 1000, parallel = "snow", ncpus = 4) quantile(bt$t

问题 Goal: To create interactive dropdown/buttons to update the axes' scale for a Plotly figure from R. Issue: There is a lot of documentation on creating buttons and log plots using layout and updatemenus ; however, it was difficult to find one that described how a button could be added specifically for changing the scale of the axes. Some posts on stackoverflow provided solutions for doing this in python but I struggled to find an equivalent one for R. I have provided a solution/example here

问题 Goal: To create interactive dropdown/buttons to update the axes' scale for a Plotly figure from R. Issue: There is a lot of documentation on creating buttons and log plots using layout and updatemenus ; however, it was difficult to find one that described how a button could be added specifically for changing the scale of the axes. Some posts on stackoverflow provided solutions for doing this in python but I struggled to find an equivalent one for R. I have provided a solution/example here

问题 I would like to do a large analysis using bootstrapping. I saw that the speed of bootstrapping is increased using parallel computing as in the following code: Parallel computing # detect number of cpu library(parallel) detectCores() library(boot) # boot function --> mean bt.mean <- function(dat, d){ x <- dat[d] m <- mean(x) return(m) } # obtain confidence intervals # use parallel computing with 4 cpus x <- mtcars$mpg bt <- boot(x, bt.mean, R = 1000, parallel = "snow", ncpus = 4) quantile(bt$t

问题 I have county level data recording the year an invasive insect pest was first detected in that county between 2002 and 2018. I created a map using ggplot2 and the maps package that fills the county polygons with a color according to the year the pest was detected. **Is there a way to use the gganimate package to animate this map with the first frame filling in only polygons with a detection date of 2002, the second frame filling polygons with a detection date of 2003 or earlier (so 2002 and

问题 I am new to using tidyverse. I want to see if I am being as efficient/concise as possible using the functions in this package. I suspect I am not. My original data has the key sym as part of each column name. day a_x b_x a_y b_y 1 1 -0.56047565 1.2240818 -1.0678237 0.42646422 2 2 -0.23017749 0.3598138 -0.2179749 -0.29507148 ... I would like to make the data look tidy, like so: day sym x y 1 1 a 0.118 0.702 2 2 a -0.947 -0.262 ... 11 1 b 1.44 0.788 12 2 b 0.452 0.769 Here is my code that does

问题 I am new to using tidyverse. I want to see if I am being as efficient/concise as possible using the functions in this package. I suspect I am not. My original data has the key sym as part of each column name. day a_x b_x a_y b_y 1 1 -0.56047565 1.2240818 -1.0678237 0.42646422 2 2 -0.23017749 0.3598138 -0.2179749 -0.29507148 ... I would like to make the data look tidy, like so: day sym x y 1 1 a 0.118 0.702 2 2 a -0.947 -0.262 ... 11 1 b 1.44 0.788 12 2 b 0.452 0.769 Here is my code that does

问题 In R, using the rgl and htmlwidgets libraries, I'm trying to extract an HTML file having a widget with toggle buttons . The following example does what I want in the RStudio Viewer. The HTML export works without the toggle buttons, but fails when the rglwidget includes these buttons. The first part is based on these rgl examples, and the export part on the htmlwidgets manual. library(rgl) open3d() x <- sin(1:100) y <- cos(1:100) z <- -100:100/100 # draw a barrel sids1 <- spheres3d(x, y, z,