DMFT

Analisis de DMFT con DMFT_para_calculos

Por género

genero D1

DMFT_resumido %>% 
  group_by(`1_gender`, `d1d3mft-bin`) %>% 
  summarise(n = n()) %>% 
  spread(`d1d3mft-bin`, n)

chisq.test(table(DMFT_resumido$`1_gender`, DMFT_resumido$`d1d3mft-bin`))

    Pearson's Chi-squared test with Yates' continuity correction

data:  table(DMFT_resumido$`1_gender`, DMFT_resumido$`d1d3mft-bin`)
X-squared = 0.0013941, df = 1, p-value = 0.9702

genero D3

chisq.test(table(DMFT_resumido$`1_gender`, DMFT_resumido$d3mftbin))

    Pearson's Chi-squared test with Yates' continuity correction

data:  table(DMFT_resumido$`1_gender`, DMFT_resumido$d3mftbin)
X-squared = 4.4796, df = 1, p-value = 0.0343

Por region

region D1

DMFT_resumido %>% 
  group_by(RegionName, `d1d3mft-bin`) %>%
  summarise( n= n()) %>% 
  spread(`d1d3mft-bin`, n)

chisq.test(table(DMFT_resumido$RegionName, DMFT_resumido$`d1d3mft-bin`))

Chi-squared approximation may be incorrect

    Pearson's Chi-squared test

data:  table(DMFT_resumido$RegionName, DMFT_resumido$`d1d3mft-bin`)
X-squared = 47.414, df = 5, p-value = 4.679e-09

Region D3

chisq.test(table(DMFT_resumido$RegionName, DMFT_resumido$d3mftbin))

    Pearson's Chi-squared test

data:  table(DMFT_resumido$RegionName, DMFT_resumido$d3mftbin)
X-squared = 49.31, df = 5, p-value = 1.918e-09

FAS

FAS D1

chisq.test(table(DMFT_resumido$FAS_cat, DMFT_resumido$`d1d3mft-bin`))

    Pearson's Chi-squared test

data:  table(DMFT_resumido$FAS_cat, DMFT_resumido$`d1d3mft-bin`)
X-squared = 0.52609, df = 2, p-value = 0.7687

FAS D3

chisq.test(table(DMFT_resumido$FAS_cat, DMFT_resumido$d3mftbin))

    Pearson's Chi-squared test

data:  table(DMFT_resumido$FAS_cat, DMFT_resumido$d3mftbin)
X-squared = 10.369, df = 2, p-value = 0.005603