r

问题 Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 2 years ago . Improve this question mergedata <- merge (dataset1, dataset2, by.x="personalid") Error in fix.by(by.x, x) : 'by' must specify a uniquely valid column 回答1: The OP had specified only the by.x . If the column names are the same, then by can be used merge(dataset1, dataset2, by="personalid

问题 I try to figure out how big the radii of the points in my plot in x and y direction are going to be, with their size being set by cex . I want to create a plotting function which needs this information. It appears to me as if cex would be this magical parameter and nobody actually knows what exactly it is going to do. I am creating a plot with the png function. I set a graph width and height. I set par(mar) and par(oma) . I plot an empty plot with an xlim and ylim being set, and add an

问题 I have a data frame like the one shown below: ref_inf <- c(2,3,1,2.2,1.3,1.5,1.9,1.8,1.9,1.9) ref_year<- seq(2001,2010) inf_data <- data.frame(ref_year,ref_inf) ref_year ref_inf 1 2001 2.0 2 2002 3.0 3 2003 1.0 4 2004 2.2 5 2005 1.3 6 2006 1.5 7 2007 1.9 8 2008 1.8 9 2009 1.9 10 2010 1.9 What I want to do is to create a new column "Final Inflation" and each number in the new column should be calculated by multiplying all previous numbers in ref_inf column, so for example, if I want to

问题 I am trying to create a bar graph. When I set the limits as (0,7), the bars appear. However, I would like the lower limit to be 1, not 0. When I set the lower limit to 1, the bars do not appear. I get the following error message: Removed 8 rows containing missing values (geom_bar). It doesn't matter how I set the limits. I have used both of the following options: ylim(1, 7) scale_y_continuous(limits = c(1, 7)) Does anyone know how I can fix this? I'd like a graph that looks like this, but

问题 I am building an app with shiny and use a slider pretty much as the one shown in Shiny gallery (http://shiny.rstudio.com/gallery/slider-bar-and-slider-range.html). By default it gets coloured blue to the left of the chosen value (in this example from 0 to 50). Is there a way to get it coloured to the right of the chosen value: e.i. from 50 to 100? The reason I would like to do it, is that the user should read it as "all values from the threshold to max", so colouring from the min to the

问题 I am researching how to use multiple imputation results. The following is my understanding, and please let me know if there're mistakes. Suppose you have a data set with missing values, and you want to conduct a regression analysis. You may perform multiple imputation for m = 5 times, and for each imputed data set (5 imputed data sets now) you run a regression analysis, then "pool" the coefficient estimates from these m = 5 models via Rubin's rules (or use R package "pool"). My question is

问题 I am trying to extract a vector of values from a data frame based on a vector of row numbers; df<-iris x<-c(1,5,15,8,7,2) I want the corresponding Species of the row numbers listed in the vector x. I have tried something like df$Species[x,] and df$Species[list(x),] to no avail. I am sure the answer is something really simple but I just can't see it! Thanks in advance 回答1: Try df[x,]$Species or df[,"Species"][x] or indeed df[x,"Species"] 来源： https://stackoverflow.com/questions/17439396/extract

问题 I am researching how to use multiple imputation results. The following is my understanding, and please let me know if there're mistakes. Suppose you have a data set with missing values, and you want to conduct a regression analysis. You may perform multiple imputation for m = 5 times, and for each imputed data set (5 imputed data sets now) you run a regression analysis, then "pool" the coefficient estimates from these m = 5 models via Rubin's rules (or use R package "pool"). My question is

问题 I am running the "weathercan" data package (https://cran.r-project.org/web/packages/weathercan/index.html; https://github.com/ropensci/weathercan) and keep getting an error when trying to retrieved data from the Environment and Climate Change historic weather data website. I've re-installed the package, I even reinstalled R and RStudio after deleting everything R from my system, but the error persists. The package works fine when I look up stations up, e.g., stations_search(coords = c(44

问题 I'd like to train a convolutional network to solve a multi-class, multi-label problem on image data. Due to the nature of the data, and for reasons I'll spare you, it would be best if I could use a custom R generator function to feed to the fit_generator command, instead of its built-in image_data_generator and flow_images_from_directory commands (which I was successfully able to get working, just not for this particular problem). Here (https://www.rdocumentation.org/packages/keras/versions/2