tidyverse

问题 Using basic R, I can transpose a dataframe, say mtcars , which has all columns of the same class: as.data.frame(t(mtcars)) Or with pipes: library(magrittr) mtcars %>% t %>% as.data.frame How to accomplish the same within tidyr or tidyverse packages? My attempt below gives: Error: Duplicate identifiers for rows library(tidyverse) mtcars %>% gather(var, value, everything()) %>% spread(var, value) 回答1: Try with add_rownames add_rownames(mtcars) %>% gather(var, value, -rowname) %>% spread(rowname

问题 Using basic R, I can transpose a dataframe, say mtcars , which has all columns of the same class: as.data.frame(t(mtcars)) Or with pipes: library(magrittr) mtcars %>% t %>% as.data.frame How to accomplish the same within tidyr or tidyverse packages? My attempt below gives: Error: Duplicate identifiers for rows library(tidyverse) mtcars %>% gather(var, value, everything()) %>% spread(var, value) 回答1: Try with add_rownames add_rownames(mtcars) %>% gather(var, value, -rowname) %>% spread(rowname

问题 I am trying to learn how to automate running 3 or more regression models over subsets of a dataset using the purrr and broom packages in R. I am doing this with the nest %>% mutate(map()) %>% unnest() flow in mind. I am able to replicate examples online when there is only one regression model that is applied to several data subsets. However, I am running into problems when I have more than one regression model in my function. What I tried to do library(tidyverse) library(broom) estimate_model

问题 I am trying to learn how to automate running 3 or more regression models over subsets of a dataset using the purrr and broom packages in R. I am doing this with the nest %>% mutate(map()) %>% unnest() flow in mind. I am able to replicate examples online when there is only one regression model that is applied to several data subsets. However, I am running into problems when I have more than one regression model in my function. What I tried to do library(tidyverse) library(broom) estimate_model

问题 I am trying to copy a local dataframe from R to my db2 database. I have permissions to write to the table and I have verified the connection is working. I am using: copy_to(connection, data.frame, name = my_table_name) I am getting the following error and it doesnt make sense to me. The object it says does not exist is the very object I am trying to create. What am I doing wrong? Error in typeof(x) : object 'my_table_name' not found 回答1: by default, copy_to() tries to create a temporary table

问题 Using the tidyverse a lot i often face the challenge of turning named vectors into a data.frame / tibble with the columns being the names of the vector. What is the prefered/tidyversey way of doing this? EDIT: This is related to: this and this github-issue So i want: require(tidyverse) vec <- c("a" = 1, "b" = 2) to become this: # A tibble: 1 × 2 a b <dbl> <dbl> 1 1 2 I can do this via e.g.: vec %>% enframe %>% spread(name, value) vec %>% t %>% as_tibble Usecase example: require(tidyverse)

问题 I have the following list of list. It contains two variables: pair and genes. The contain of pair is always vector with two strings. And the variable genes is a vector which can contain more than 1 values. lol <- list(structure(list(pair = c("BoneMarrow", "Pulmonary"), genes = "PRR11"), .Names = c("pair", "genes")), structure(list(pair = c("BoneMarrow", "Umbilical"), genes = "GNB2L1"), .Names = c("pair", "genes")), structure(list( pair = c("Pulmonary", "Umbilical"), genes = "ATP1B1"), .Names

问题 Given the following data: id|datee | price | quant | discrete_x 1 2018-12-19 4 -3000 A 1 2018-12-04 4 3000 A 1 2018-12-21 4 3000 B 1 2018-12-20 3 2000 A ... Desired output: id|datee | price | quant | discrete_x 1 2018-12-21 4 3000 B 1 2018-12-20 3 2000 A ... In this case, it is quite clear that the quantity ( quant ) of 3000 is refunded, then bought again. I would like to remove the two rows for cancelling each other out. Given that id and quant match while the refund happens once and after a

问题 Some time ago everything was ok. But after recent updates (I cannot track down which ones), in RStudio the "Attaching packages" section of the tidyverse startup message has encoding issues while the "Conflicts" part is correct. In R Gui this issue is not present (and there are no different colors). How can I get a non-distorted tidyverse startup message in RStudio? (With v and not <U+2713> ). Is it a bug in some package or RStudio? Are there some settings incorrect on my side? Rstudio version

问题 I need to estimate a number of linear models on the same dataset, and put the regression results all into one table. For a reproducible example, here's a simplification using mtcars : formula_1 = "mpg ~ disp" formula_2 = "mpg ~ log(disp)" formula_3 = "mpg ~ disp + hp" Currently, my approach has been to: Create a list that contains all of the formulae. use purrr:map() to estimate all of the lm models. use stargazer:: to produce output tables. library(tidyverse) library(stargazer) formula_1 =