r

问题 I'm writing up a report in R Markdown and I made some tables using the gt package. However, when I attempt to knit to a pdf or html file, I get this error: ! LaTeX Error: There's no line here to end. Error: LaTeX failed to compile final_report.tex. See https://yihui.org/tinytex/r/#debugging for debugging tips. See final_report.log for more info. Interestingly, I'm able to knit to a Word document. I did do some experimenting to make sure it was the tables that were causing it, just to be sure.

问题 I have n number of data.frame i would like to add column to all data.frame a <- data.frame(1:4,5:8) b <- data.frame(1:4, 5:8) test=ls() for (j in test){ j = cbind(get(j),IssueType=j) } Problem that i'm running into is j = cbind(get(j),IssueType=j) because it assigns all the data to j instead of a , b . 回答1: As commented, it's mostly better to keep related data in a list structure. If you already have the data.frames in your global environment and you want to get them into a list, you can use:

问题 I wrote a parametrized report that will create individual reporting for ~120 centers in two different languages. The reports are created by the knit-button so far (which works perfectly fine). Inspired by @djnavarro's tweet (https://twitter.com/djnavarro/status/1101623527872970754) I tried writing a function to render multiple parametrized reports in one command, however, the function fails with Error as shown in the minimal reprex below: The .Rmd-file called summary_cyl.Rmd --- output: pdf

问题 I have a dataframe in R that contains the following columns structure (in a bigger scale): Material_code actual_202009 actual_202010 actual_202011 pred_202009 pred_202010 pred_202011 111 30 44 24 25 52 27 112 19 70 93 23 68 100 I would like to add new columns to the dataframe containing the respective error measure: |actual - pred|/ actual * 100% Obtaining this: Material_code actual_202009 actual_202010 actual_202011 pred_202009 pred_202010 pred_202011 MAPE_202009 MAPE_202010 MAPE_202011 111

问题 In R-Shiny. Trying to break up a really long reactive function (thousands of lines!). Hypothetically, is it possible to nest conditional reactive functions, something similar to: STATE_filter <- reactive({ if(input$selectcounty ends with "-AL") { run AL_filter() } else if (input$selectstate ends with "-AR"){ run AR_filter() } else { return("ERROR") } }) EDIT Non-hypothetically, I'm trying to create a nested reactive filtering function based on user select inputs of U.S. counties. Upon their

问题 In R-Shiny. Trying to break up a really long reactive function (thousands of lines!). Hypothetically, is it possible to nest conditional reactive functions, something similar to: STATE_filter <- reactive({ if(input$selectcounty ends with "-AL") { run AL_filter() } else if (input$selectstate ends with "-AR"){ run AR_filter() } else { return("ERROR") } }) EDIT Non-hypothetically, I'm trying to create a nested reactive filtering function based on user select inputs of U.S. counties. Upon their

问题 In the following vis-network I have 2 groups of nodes. I have separated the 2 groups of nodes into left and right side by accessing the node positions after generating a layput_as_tree . Then using visEvents drew an ellipse around the node groups to show the separation more defined as 2 cell structures. I would like to control the arrangement of the node positions. For example, some nodes need to be on the boundary of the ellipse, some at very center and some scattered around. Wondering if

问题 In the following vis-network I have 2 groups of nodes. I have separated the 2 groups of nodes into left and right side by accessing the node positions after generating a layput_as_tree . Then using visEvents drew an ellipse around the node groups to show the separation more defined as 2 cell structures. I would like to control the arrangement of the node positions. For example, some nodes need to be on the boundary of the ellipse, some at very center and some scattered around. Wondering if

问题 I have n number of data.frame i would like to add column to all data.frame a <- data.frame(1:4,5:8) b <- data.frame(1:4, 5:8) test=ls() for (j in test){ j = cbind(get(j),IssueType=j) } Problem that i'm running into is j = cbind(get(j),IssueType=j) because it assigns all the data to j instead of a , b . 回答1: As commented, it's mostly better to keep related data in a list structure. If you already have the data.frames in your global environment and you want to get them into a list, you can use:

问题 I am using the R programming language. I am following this tutorial over here for making 3d kernel density plots in R: https://plotly.com/r/3d-surface-plots/: library(MASS) library(plotly) kd <- with(MASS::geyser, MASS::kde2d(duration, waiting, n = 50)) fig <- plot_ly(x = kd$x, y = kd$y, z = kd$z) %>% add_surface() fig I decided to try this on my own data : #generate data a = rnorm(100,10,10) b = rnorm(100,5,5) c = rnorm(100,5,10) d = data.frame(a,b,c) #make 3d plot (I think n = 50 refers to