ce76a7b46a1cc7f528d9400c58666adf *BirthDeath.csv
abad5b8f6d345a058b6eb749a534b31f *BirthDeath.txt
dd4a5eb74da7b1441f902f3f03649c59 *BirthDeath.xlsx
2ef0cca1cefb409cad7fbc6bf48e3fdf *BirthDeath2000.csv
b68a783457f0b116b8ba48521b84dbc2 *BirthDeath2000.dta
6ce05dff6b5bf41dab915497646b8a77 *BirthDeath2000.sas
b63b121d7ebc24d9ef2e19e19172928c *BirthDeath2000.sav
85fbabc9eadd923d12fffbe9f211ce45 *BirthDeath2000.txt
d836d85903d2fb92c9b51ecccf9c7c70 *BirthDeath2000.xlsx
e20b42878bdd7c1aa23b3397e2b8cca9 *DESCRIPTION
9afd1898690d2b371f705e032faeb6db *DieselbioRon95.csv
c607f619fa3e4e608f073cf1391fb78a *DieselbioRon95.dta
a0fde88739b03ad26b79d2e0ab8f0e29 *DieselbioRon95.sas
df4c5db4f786d0dab487dc2e83ef3109 *DieselbioRon95.sav
bfdf55e6fc4ea061b8b3600d2a5bb01c *DieselbioRon95.txt
330ca6970859f4b7ac5a9dc772cc3026 *DieselbioRon95.xlsx
d2ce8a1c4ac3a65f38d38f2de001eedb *FuelConsumption.csv
b29d120f8949126662f1b6d0409aa898 *FuelConsumption.txt
06c16aeb1547e26c1339cd6476059231 *FuelConsumption.xlsx
62b12429500ac9f3cb5c00b693eeb72a *INDEX
7e5b279db43823310409b0b0a97377c8 *LICENSE
f3408c8a371865e33b7803fe61c3767a *LaptopRates.csv
aba62fe0b4509379798c5dd21615001e *LaptopRates.txt
e0852cf7fcf2f9501cc6478e842eac79 *LaptopRates.xlsx
0d2e71ee1e5b3107bfcb2ed6444221c2 *LivLab.csv
efa3a8f297fe5a28bdc6c5025912f615 *LivLab.txt
c112115ab53f361d2507f69e6729e33d *LivLab.xlsx
a60ee232c3aa60bbef1ee7def9cdd5b7 *Meta/Rd.rds
ad11e7c2eac7b4ae313b40ce6ccda246 *Meta/data.rds
50a9fa3e1aa2c47fa7bdbd6e6bb8974e *Meta/features.rds
94fb78d226a526a4720f6ef0a35cacf0 *Meta/hsearch.rds
e17a76feb97dfda3dc5b2ce68f69b943 *Meta/links.rds
3ae546ea5c94e8e5a4d178a12cb78d34 *Meta/nsInfo.rds
fd48349fe6d03518f65978a8e060df2e *Meta/package.rds
76cc08142ca94238fe996e64d7d51be5 *MilkConsumption.csv
2cdeb6991b2ea186d93e29f8745207d8 *MilkConsumption.txt
03d3752f62663f5a380eb57c116ee03b *MilkConsumption.xlsx
b577f4ea56902010d8d3039de6466a4e *NAMESPACE
d6c68f1fe41ced6e98a766a3757313da *R/gginference
c17eb4a9581e43edc131ab4c54418128 *R/gginference.rdb
5af58ac488d9ee7cdb7f94de6a0025df *R/gginference.rdx
4c80cd3b94e6c75a6bd0b02d3656c23c *Salary_Gender.csv
a13156cfb9a0f63d5c25e400331f74b7 *Salary_Gender.dta
0ef77c3910355764976540e0c4362d08 *Salary_Gender.sas
3ffcce6a332b241b0e12b5c5618f2887 *Salary_Gender.sav
b9efd535bc7d2a3af59746332f0a13e8 *Salary_Gender.txt
1342d4a87bc4485ba33e570d74bc6edc *Salary_Gender.xlsx
df5a1efb445b7899af9436c9ebd03370 *births.csv
5f6a5dfd34f51fec0793d1a129cb0eca *births.txt
df813544d2d9173df1dbf1f1ce0fba41 *births.xlsx
8230e2d4caed97c36899e35499d135cc *data/Rdata.rdb
addebe172148d0db0617bd518459901a *data/Rdata.rds
e418d175dae64de7a6c5acb6e2e671dc *data/Rdata.rdx
68aab311335a2384e3a6357ec1c07a31 *help/AnIndex
668a7a5024dd9a62a4f4807385c132ff *help/aliases.rds
8ffeadeaaec34b426657664062dde5d2 *help/gginference.rdb
dc99b6fd98656547ef80572c2ff3358a *help/gginference.rdx
c6ab64040e86cf814c33d4bce5a94283 *help/paths.rds
6c1235b23a49a188bfb0fd4b9c550d45 *html/00Index.html
ee41876c0116916bb04bcf4fe3e43d78 *html/R.css
344f393f6ac98feb839277e23226db58 *m_anova.csv
6e4dd7624fe97e78ff6083d56a19573d *m_anova.txt
2f9afa589f2414a5063999fb0a4e68d9 *m_anova.xlsx
b036c81ad52b7ae5b2ee51b207b1ecfe *questionnaire.csv
631a20ef3bf1cf714ddbbb82b913d92c *questionnaire.txt
eaba11887212a20183b6fc8fc166d367 *questionnaire.xlsx
ced59229309fc70eb7d395e133aefece *randexperiment.csv
ced59229309fc70eb7d395e133aefece *randexperiment.txt
a63d8264518b579d69e16191ece684c4 *randexperiment.xlsx
c0e05f23146e5c2f01b23c33c04d3f46 *receipts_museums.xlsx
fa03a2b3b74b76f35f2d4f576df81b84 *salary.sav
df84a4b4aa337b89fb921293a9f53f44 *visits_museums.xlsx
e33426f179ba1b0eec12ff7a58ff642a *visits_museums_orig.xlsx
