install.packages("remotes")
libarary(remotes)
remotes::install_github("github repository name")
You can get it with __. __
-Get and set Personal Access Token when installing R package from GitHub
RStudio
> install.packages("remotes")
URL 'https://cran.rstudio.com/bin/macosx/contrib/4.0/remotes_2.2.0.tgz'I'm trying
Content type 'application/x-gzip' length 385641 bytes (376 KB)
==================================================
downloaded 376 KB
The downloaded binary packages are in
/var/folders/dw/kq_8pwps5s771nklvc8krws40000gn/T//RtmpwaZ17t/downloaded_packages
RStudio
> library(remotes)
The experimentdatar data package contains publicly available datasets that were used in Susan Athey and Guido Imbens’ course “Machine Learning and Econometrics” (AEA continuing Education, 2018). The datasets are conveniently packed for R users.
Installation You can install the development version from GitHub
# install.packages("devtools") devtools::install_github("itamarcaspi/experimentdatar")Usage Load experimentdatar and other required libraries
library(dplyr) library(experimentdatar)
RStudio
> remotes::install_github("itamarcaspi/experimentdatar")
Downloading GitHub repo itamarcaspi/experimentdatar@HEAD
✓ checking for file ‘/private/var/folders/dw/kq_8pwps5s771nklvc8krws40000gn/T/RtmpwaZ17t/remotes13e51d0a4814/itamarcaspi-experimentdatar-f71a9d0/DESCRIPTION’ ...
─ preparing ‘experimentdatar’:
✓ checking DESCRIPTION meta-information ...
─ checking for LF line-endings in source and make files and shell scripts
─ checking for empty or unneeded directories
─ building ‘experimentdatar_0.0.0.9000.tar.gz’
* installing *source* package ‘experimentdatar’ ...
** using staged installation
** R
** data
*** moving datasets to lazyload DB
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (experimentdatar)
>
RStudio
> library(experimentdatar)
> library(dplyr)
>
> data(social)
> summary(social)
sex yob g2000 g2002 g2004 p2000 p2002
Min. :0.000 Min. :1900 Min. :0.0000 Min. :0.0000 Min. :1 Min. :0.0000 Min. :0.0000
1st Qu.:0.000 1st Qu.:1946 1st Qu.:1.0000 1st Qu.:1.0000 1st Qu.:1 1st Qu.:0.0000 1st Qu.:0.0000
Median :1.000 Median :1955 Median :1.0000 Median :1.0000 Median :1 Median :0.0000 Median :0.0000
Mean :0.503 Mean :1955 Mean :0.8655 Mean :0.8344 Mean :1 Mean :0.2648 Mean :0.4082
3rd Qu.:1.000 3rd Qu.:1964 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1 3rd Qu.:1.0000 3rd Qu.:1.0000
Max. :1.000 Max. :1986 Max. :1.0000 Max. :1.0000 Max. :1 Max. :1.0000 Max. :1.0000
cluster votedav dem nov aug city
Min. : 1 Min. :0.00000 Min. : 0.00 Min. : 3.00 Min. : 0.00 Min. : 0.00
1st Qu.: 2500 1st Qu.:0.00000 1st Qu.: 3.00 1st Qu.: 83.00 1st Qu.: 33.00 1st Qu.: 1.00
Median : 5000 Median :0.00000 Median : 18.00 Median : 90.00 Median : 50.00 Median : 2.00
Mean : 5000 Mean :0.03093 Mean : 22.48 Mean : 85.06 Mean : 49.44 Mean : 13.88
3rd Qu.: 7500 3rd Qu.:0.00000 3rd Qu.: 40.00 3rd Qu.: 96.00 3rd Qu.: 70.00 3rd Qu.: 12.00
Max. :10000 Max. :1.00000 Max. :100.00 Max. :100.00 Max. :100.00 Max. :100.00
hh_id hh_size totalpopulation_estimate percent_male percent_female median_age
Min. : 1 Min. :1.000 Min. : 554 Min. :40.90 Min. :23.30 Min. :21.40
1st Qu.: 45001 1st Qu.:1.000 1st Qu.: 8971 1st Qu.:48.30 1st Qu.:49.60 1st Qu.:37.40
Median : 90000 Median :2.000 Median :19822 Median :49.20 Median :50.80 Median :40.00
Mean : 90000 Mean :1.911 Mean :20561 Mean :49.43 Mean :50.57 Mean :39.93
3rd Qu.:135000 3rd Qu.:2.000 3rd Qu.:30035 3rd Qu.:50.40 3rd Qu.:51.70 3rd Qu.:42.40
Max. :180000 Max. :8.000 Max. :63332 Max. :76.70 Max. :59.10 Max. :60.80
NA's :2
percent_under5years percent_5to9years percent_10to14years percent_15to19years percent_20to24years
Min. : 1.000 Min. : 0.800 Min. : 1.000 Min. : 0.900 Min. : 0.400
1st Qu.: 5.000 1st Qu.: 5.800 1st Qu.: 6.300 1st Qu.: 6.300 1st Qu.: 4.400
Median : 5.900 Median : 6.600 Median : 7.200 Median : 7.100 Median : 5.400
Mean : 5.898 Mean : 6.664 Mean : 7.176 Mean : 7.213 Mean : 5.838
3rd Qu.: 6.800 3rd Qu.: 7.500 3rd Qu.: 8.000 3rd Qu.: 7.900 3rd Qu.: 6.500
Max. :11.000 Max. :14.200 Max. :11.200 Max. :21.600 Max. :34.600
percent_25to34years percent_35to44years percent_45to54years percent_55to59years percent_60to64years
Min. : 3.60 Min. : 3.10 Min. : 6.50 Min. : 2.900 Min. : 1.200
1st Qu.: 9.20 1st Qu.:12.30 1st Qu.:14.70 1st Qu.: 6.100 1st Qu.: 4.900
Median :10.80 Median :13.40 Median :16.00 Median : 6.900 Median : 5.700
Mean :10.93 Mean :13.46 Mean :16.07 Mean : 7.049 Mean : 5.818
3rd Qu.:12.30 3rd Qu.:14.50 3rd Qu.:17.30 3rd Qu.: 7.900 3rd Qu.: 6.500
Max. :24.90 Max. :21.80 Max. :26.00 Max. :15.400 Max. :15.100
percent_65to74years percent_75to84years percent_85yearsandolder percent_18yearsandolder percent_21yearsandover
Min. : 1.900 Min. : 0.80 Min. :0.000 Min. :60.60 Min. :53.00
1st Qu.: 6.200 1st Qu.: 3.40 1st Qu.:1.200 1st Qu.:73.60 1st Qu.:69.50
Median : 7.100 Median : 4.50 Median :1.600 Median :75.70 Median :71.70
Mean : 7.502 Mean : 4.56 Mean :1.815 Mean :75.71 Mean :71.75
3rd Qu.: 8.400 3rd Qu.: 5.50 3rd Qu.:2.400 3rd Qu.:77.80 3rd Qu.:74.00
Max. :27.300 Max. :16.00 Max. :6.300 Max. :92.60 Max. :92.20
percent_62yearsandover percent_65yearsandover percent_white percent_black percent_amindian_alaskan
Min. : 4.40 Min. : 3.40 Min. : 36.00 Min. : 0.000 Min. : 0.000
1st Qu.:14.20 1st Qu.:11.20 1st Qu.: 89.10 1st Qu.: 0.900 1st Qu.: 0.600
Median :16.70 Median :13.50 Median : 95.70 Median : 2.200 Median : 0.900
Mean :17.14 Mean :13.88 Mean : 92.52 Mean : 4.288 Mean : 1.142
3rd Qu.:19.30 3rd Qu.:15.60 3rd Qu.: 97.80 3rd Qu.: 5.300 3rd Qu.: 1.400
Max. :46.70 Max. :39.70 Max. :100.00 Max. :64.200 Max. :42.900
percent_asian percent_nativeandother percent_other_nativeandother percent_hispanicorlatino percent_race_other
Min. : 0.000 Min. :0.00000 Min. :0.1000 Min. : 0.000 Min. : 0.000
1st Qu.: 0.600 1st Qu.:0.00000 1st Qu.:0.1000 1st Qu.: 1.700 1st Qu.: 0.400
Median : 1.300 Median :0.00000 Median :0.2000 Median : 2.600 Median : 0.700
Mean : 2.587 Mean :0.06119 Mean :0.2833 Mean : 3.772 Mean : 1.374
3rd Qu.: 2.900 3rd Qu.:0.10000 3rd Qu.:0.3000 3rd Qu.: 4.100 3rd Qu.: 1.400
Max. :27.900 Max. :2.40000 Max. :4.4000 Max. :37.600 Max. :16.800
median_income mean_income employ_16 unemploy_16 unemploy_20to64 employ_20to64
Min. : 26155 Min. : 34865 Min. :18.80 Min. : 2.30 Min. : 0.000 Min. :19.70
1st Qu.: 47000 1st Qu.: 58382 1st Qu.:54.60 1st Qu.: 7.90 1st Qu.: 7.000 1st Qu.:67.90
Median : 55659 Median : 69143 Median :59.50 Median : 9.60 Median : 8.800 Median :72.50
Mean : 59780 Mean : 74014 Mean :58.35 Mean :10.06 Mean : 9.235 Mean :71.31
3rd Qu.: 68539 3rd Qu.: 83743 3rd Qu.:62.60 3rd Qu.:11.90 3rd Qu.:10.900 3rd Qu.:75.30
Max. :138884 Max. :175372 Max. :74.30 Max. :28.00 Max. :28.600 Max. :86.30
employ_rename_20to64 hsorhigher bach_orhigher less9thgrade grade9to12 highschool
Min. : 1.300 Min. :70.70 Min. : 2.30 Min. : 0.000 Min. : 1.000 Min. : 6.20
1st Qu.: 2.200 1st Qu.:88.40 1st Qu.:17.60 1st Qu.: 1.600 1st Qu.: 4.100 1st Qu.:24.40
Median : 2.600 Median :91.80 Median :27.20 Median : 2.400 Median : 5.800 Median :30.10
Mean : 3.067 Mean :91.01 Mean :28.88 Mean : 2.709 Mean : 6.276 Mean :29.88
3rd Qu.: 3.500 3rd Qu.:93.90 3rd Qu.:36.20 3rd Qu.: 3.200 3rd Qu.: 8.400 3rd Qu.:36.70
Max. :11.000 Max. :98.70 Max. :77.00 Max. :14.500 Max. :19.900 Max. :55.10
somecollege assoc bachelors grad outcome_voted treatment_dum treat_hawthorne
Min. : 8.80 Min. : 1.800 Min. : 1.40 Min. : 0.00 Min. :0.0000 Min. :0.0000 Min. :0.0000
1st Qu.:21.50 1st Qu.: 7.500 1st Qu.:11.60 1st Qu.: 5.80 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
Median :23.80 Median : 8.900 Median :17.80 Median : 8.90 Median :0.0000 Median :0.0000 Median :0.0000
Mean :23.46 Mean : 8.799 Mean :17.96 Mean :10.92 Mean :0.3247 Mean :0.4445 Mean :0.1111
3rd Qu.:25.70 3rd Qu.:10.000 3rd Qu.:23.10 3rd Qu.:13.10 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:0.0000
Max. :34.50 Max. :17.200 Max. :38.00 Max. :51.40 Max. :1.0000 Max. :1.0000 Max. :1.0000
treat_civic treat_neighbors treat_self randn oneperhh p2004
Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000031 Min. :1 Min. :0.0000
1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.1426294 1st Qu.:1 1st Qu.:0.0000
Median :0.0000 Median :0.0000 Median :0.0000 Median :0.3170897 Median :1 Median :0.0000
Mean :0.1111 Mean :0.1111 Mean :0.1111 Mean :0.3644871 Mean :1 Mean :0.4184
3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.5508658 3rd Qu.:1 3rd Qu.:1.0000
Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :0.9999971 Max. :1 Max. :1.0000
>
> social %>% select(outcome_voted, treatment_neighbors) %>% head()
error: Can't subset columns that don't exist.
x Column `treatment_neighbors` doesn't exist.
Run `rlang::last_error()` to see where the error occurred.
>
> social %>% select(outcome_voted, treat_neighbors) %>% head()
# A tibble: 6 x 2
outcome_voted treat_neighbors
<int> <int>
1 0 0
2 1 0
3 1 0
4 0 0
5 0 0
6 0 0
>