How do I know which packages are interfering with the others? - r

Question

I am putting some files together using the following code:
data_path <- "daymet"
files <- dir(data_path, pattern = "*.csv")
daymet <- data_frame(filename = files) %>%
mutate(file_contents = map(filename, ~ read_csv(file.path(data_path, .),
skip=7)))%>%
unnest()%>%
mutate(site = str_sub(filename, 1, 3))
At first I had some problems with the error "'GAJPCSR1_2003_2011.csvMapEnv' is not an exported object from 'namespace:maps'". I reinstalled purrr. Error gone, everything worked!
I went to put this back with the rest of my analysis, cleared my environment, and when R got to this chunk, the same error message came back.
I've got all these other packages going, so it seems like one of them is not working well with purrr. Or maybe not. Even if I don't load all the packages, I still get the same error message.
Session Info:
R version 3.3.2 (2016-10-31)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] reprex_0.1.1 mapdata_2.2-6 maps_3.2.0 ggmap_2.6.1 soilDB_1.8.5 aqp_1.10
[7] stringr_1.1.0 modelr_0.1.0 lubridate_1.6.0 dplyr_0.5.0 purrr_0.2.3 readr_1.0.0
[13] tidyr_0.6.1 tibble_1.2 ggplot2_2.2.1 tidyverse_1.1.1
loaded via a namespace (and not attached):
[1] httr_1.2.1 jsonlite_1.5 splines_3.3.2 Formula_1.2-1
[5] assertthat_0.2.0 sp_1.2-5 latticeExtra_0.6-28 backports_1.0.5
[9] lattice_0.20-34 digest_0.6.12 RColorBrewer_1.1-2 checkmate_1.8.2
[13] rvest_0.3.2 colorspace_1.3-2 htmltools_0.3.5 Matrix_1.2-7.1
[17] plyr_1.8.4 psych_1.6.12 devtools_1.12.0 clipr_0.3.3
[21] XML_3.98-1.8 broom_0.4.2 raster_2.5-8 haven_1.0.0
[25] scales_0.4.1 whisker_0.3-2 jpeg_0.1-8 htmlTable_1.9
[29] withr_1.0.2 nnet_7.3-12 lazyeval_0.2.0 mnormt_1.5-5
[33] proto_1.0.0 survival_2.41-3 magrittr_1.5 readxl_0.1.1
[37] evaluate_0.10 memoise_1.0.0 nlme_3.1-131 MASS_7.3-45
[41] forcats_0.2.0 xml2_1.1.1 foreign_0.8-67 tools_3.3.2
[45] data.table_1.10.4 hms_0.3 geosphere_1.5-5 RgoogleMaps_1.4.1
[49] munsell_0.4.3 cluster_2.0.5 plotrix_3.6-4 callr_1.0.0
[53] rlang_0.1.2 grid_3.3.2 rjson_0.2.15 htmlwidgets_0.8
[57] rmarkdown_1.5 labeling_0.3 base64enc_0.1-3 gtable_0.2.0
[61] DBI_0.5-1 reshape_0.8.6 reshape2_1.4.2 R6_2.2.0
[65] gridExtra_2.2.1 knitr_1.17 rprojroot_1.2 Hmisc_4.0-3
[69] stringi_1.1.2 parallel_3.3.2 Rcpp_0.12.10 mapproj_1.2-4
[73] rpart_4.1-10 acepack_1.4.1 png_0.1-7

Answer 1

You can see everything that is masking or being masked with
conflicts(detail = TRUE)
For example, in my current R session you can see below that I've been answering questions on SO because of all the generic data names in the Global Environment, df, dt, and t masking the base functions of the same name. And you can see data table's first and last masking the dplyr versions, because I loaded data.table after dplyr:
> conflicts(detail = T)
$.GlobalEnv
[1] "n" "df" "dt" "gamma" "t"
$`package:stringr`
[1] "%>%"
$`package:data.table`
[1] "between" "first" "last"
$`package:dplyr`
[1] "%>%" "between" "first" "last" "n" "filter" "lag"
[8] "intersect" "setdiff" "setequal" "union"
$`package:ggplot2`
[1] "Position"
$`package:stats`
[1] "df" "dt" "filter" "lag"
$`package:methods`
[1] "body<-" "kronecker"
$`package:base`
[1] "body<-" "gamma" "intersect" "kronecker" "Position" "setdiff" "setequal"
[8] "t" "union"