Just test if the code of this Rstudio’s article works or not: http://blog.rstudio.org/2015/09/29/purrr-0-1-0/

library(purrr)
library(dplyr)
## 
## Attaching package: 'dplyr'
## 
## The following object is masked from 'package:purrr':
## 
##     order_by
## 
## The following objects are masked from 'package:stats':
## 
##     filter, lag
## 
## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union
random_group <- function(n, probs) {
  probs <- probs / sum(probs)
  g <- findInterval(seq(0, 1, length = n), c(0, cumsum(probs)),
    rightmost.closed = TRUE)
  names(probs)[sample(g)]
}
partition <- function(df, n, probs) {
  n %>% 
    replicate(split(df, random_group(nrow(df), probs)), FALSE) %>%
    zip_n() %>%
    as_data_frame()
}

msd <- function(x, y) sqrt(mean((x - y) ^ 2))

This works:

cv <- mtcars %>%
  partition(100, c(training = 0.8, test = 0.2)) %>% 
  mutate(
    # Fit the model
    model = map(training, ~ lm(mpg ~ wt, data = .)),
    # Make predictions on test data
    pred = map2(model, test, predict),
    # Calculate mean squared difference
    diff = map2(pred, test %>% map("mpg"), msd) %>% flatten()
  )

devtools::session_info()
## Session info --------------------------------------------------------------
##  setting  value                       
##  version  R version 3.2.2 (2015-08-14)
##  system   x86_64, mingw32             
##  ui       RTerm                       
##  language en                          
##  collate  Japanese_Japan.932          
##  tz       Asia/Tokyo                  
##  date     2015-10-04
## Packages ------------------------------------------------------------------
##  package    * version    date       source                       
##  assertthat   0.1        2013-12-06 CRAN (R 3.2.0)               
##  DBI          0.3.1      2014-09-24 CRAN (R 3.2.0)               
##  devtools     1.9.1      2015-09-11 CRAN (R 3.2.2)               
##  digest       0.6.8      2014-12-31 CRAN (R 3.2.0)               
##  dplyr      * 0.4.3.9000 2015-09-16 Github (hadley/dplyr@00a0a74)
##  evaluate     0.8        2015-09-18 CRAN (R 3.2.2)               
##  formatR      1.2.1      2015-09-18 CRAN (R 3.2.2)               
##  htmltools    0.2.6      2014-09-08 CRAN (R 3.2.0)               
##  knitr        1.11       2015-08-14 CRAN (R 3.2.2)               
##  lazyeval     0.1.10     2015-01-02 CRAN (R 3.2.0)               
##  magrittr     1.5        2014-11-22 CRAN (R 3.2.0)               
##  memoise      0.2.1      2014-04-22 CRAN (R 3.2.0)               
##  purrr      * 0.1.0      2015-09-28 CRAN (R 3.2.2)               
##  R6           2.1.1      2015-08-19 CRAN (R 3.2.2)               
##  Rcpp         0.12.1     2015-09-10 CRAN (R 3.2.2)               
##  rmarkdown    0.8        2015-08-30 CRAN (R 3.2.2)               
##  stringi      0.5-5      2015-06-29 CRAN (R 3.2.1)               
##  stringr      1.0.0      2015-04-30 CRAN (R 3.2.0)               
##  yaml         2.1.13     2014-06-12 CRAN (R 3.2.0)

But, after loading ggplot2, it won’t.

library(ggplot2)
cv <- mtcars %>%
  partition(100, c(training = 0.8, test = 0.2)) %>% 
  mutate(
    # Fit the model
    model = map(training, ~ lm(mpg ~ wt, data = .)),
    # Make predictions on test data
    pred = map2(model, test, predict),
    # Calculate mean squared difference
    diff = map2(pred, test %>% map("mpg"), msd) %>% flatten()
  )
## Error in eval(expr, envir, enclos): invalid term in model formula
devtools::session_info()
## Session info --------------------------------------------------------------
##  setting  value                       
##  version  R version 3.2.2 (2015-08-14)
##  system   x86_64, mingw32             
##  ui       RTerm                       
##  language en                          
##  collate  Japanese_Japan.932          
##  tz       Asia/Tokyo                  
##  date     2015-10-04
## Packages ------------------------------------------------------------------
##  package    * version    date       source                         
##  assertthat   0.1        2013-12-06 CRAN (R 3.2.0)                 
##  colorspace   1.2-6      2015-03-11 CRAN (R 3.2.0)                 
##  DBI          0.3.1      2014-09-24 CRAN (R 3.2.0)                 
##  devtools     1.9.1      2015-09-11 CRAN (R 3.2.2)                 
##  digest       0.6.8      2014-12-31 CRAN (R 3.2.0)                 
##  dplyr      * 0.4.3.9000 2015-09-16 Github (hadley/dplyr@00a0a74)  
##  evaluate     0.8        2015-09-18 CRAN (R 3.2.2)                 
##  formatR      1.2.1      2015-09-18 CRAN (R 3.2.2)                 
##  ggplot2    * 1.0.1.9003 2015-09-24 Github (hadley/ggplot2@710991b)
##  gtable       0.1.2      2012-12-05 CRAN (R 3.2.0)                 
##  htmltools    0.2.6      2014-09-08 CRAN (R 3.2.0)                 
##  knitr        1.11       2015-08-14 CRAN (R 3.2.2)                 
##  lazyeval     0.1.10     2015-01-02 CRAN (R 3.2.0)                 
##  magrittr     1.5        2014-11-22 CRAN (R 3.2.0)                 
##  memoise      0.2.1      2014-04-22 CRAN (R 3.2.0)                 
##  munsell      0.4.2      2013-07-11 CRAN (R 3.2.0)                 
##  plyr         1.8.3      2015-06-12 CRAN (R 3.2.1)                 
##  purrr      * 0.1.0      2015-09-28 CRAN (R 3.2.2)                 
##  R6           2.1.1      2015-08-19 CRAN (R 3.2.2)                 
##  Rcpp         0.12.1     2015-09-10 CRAN (R 3.2.2)                 
##  rmarkdown    0.8        2015-08-30 CRAN (R 3.2.2)                 
##  rstudioapi   0.3.1      2015-04-07 CRAN (R 3.2.0)                 
##  scales       0.3.0      2015-08-25 CRAN (R 3.2.2)                 
##  stringi      0.5-5      2015-06-29 CRAN (R 3.2.1)                 
##  stringr      1.0.0      2015-04-30 CRAN (R 3.2.0)                 
##  yaml         2.1.13     2014-06-12 CRAN (R 3.2.0)