Cargo el data ser luego de haber eliminados columnas en plantilla y reformatear el dataset
Existen diferencias en la general (todos los años), para sexo y COPD en niños de 6 años.
chisq.test(df$sexogeneral,df$copdgeneral)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexogeneral and df$copdgeneral
X-squared = 10.219, df = 3, p-value = 0.01679Ahora lo hago por año. Diferencia entre sexo y año 2016 para COPD
chisq.test(df$sexo16,df$copd16)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo16 and df$copd16
X-squared = 4.8769, df = 2, p-value = 0.0873Diferencia entre sexo y año 2015 para COPD
chisq.test(df$sexo15,df$copd15)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo15 and df$copd15
X-squared = 4.9212, df = 3, p-value = 0.1777Diferencia entre sexo y año 2014 para COPD
chisq.test(df$sexo14,df$copd14)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo14 and df$copd14
X-squared = 4.5634, df = 2, p-value = 0.1021Diferencia entre sexo y año 2013 para COPD
chisq.test(df$sexo13,df$copd13)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test with Yates' continuity correction
data: df$sexo13 and df$copd13
X-squared = 0.75704, df = 1, p-value = 0.3843Diferencia entre sexo y año 2012 para COPD
chisq.test(df$sexo12,df$copd12)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo12 and df$copd12
X-squared = 3.3398, df = 3, p-value = 0.3421Diferencia entre sexo y año 2011 para COPD
chisq.test(df$sexo11,df$copd11)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test with Yates' continuity correction
data: df$sexo11 and df$copd11
X-squared = 0.0087302, df = 1, p-value = 0.9256Ahora lo mismo para ceod
chisq.test(df$sexogeneral,df$ceodgeneral)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexogeneral and df$ceodgeneral
X-squared = 21.447, df = 15, p-value = 0.1231chisq.test(df$sexo16,df$ceod16)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo16 and df$ceod16
X-squared = 12.523, df = 13, p-value = 0.4853chisq.test(df$sexo15,df$ceod15)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo15 and df$ceod15
X-squared = 12.498, df = 13, p-value = 0.4873chisq.test(df$sexo14,df$ceod14)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo14 and df$ceod14
X-squared = 16.119, df = 15, p-value = 0.3742chisq.test(df$sexo13,df$ceod13)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo13 and df$ceod13
X-squared = 12.628, df = 14, p-value = 0.556chisq.test(df$sexo12,df$ceod12)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo12 and df$ceod12
X-squared = 5.959, df = 10, p-value = 0.8187chisq.test(df$sexo11,df$ceod11)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo11 and df$ceod11
X-squared = 8.9833, df = 7, p-value = 0.2539Desviaciones estandar
Hice cálculos en plantilla excel
general para COPD: 0,3692537238
general para ceod: 3,696655661
2016 COPD: 0,2585857048
2016 ceod: 3,622021601
2015 COPD: 0,4259622031
2015 ceod:3,762575812
2014 COPD: 0,3110222818
2014 ceod: 3,914762115
2013 COPD: 0,342893216
2013 ceod: 3,962896094
2012 COPD: 0,4930418269
2012 ceod: 3,148796344
2011 COPD:0,4264014327
2011 ceod:2,531618239Analisis chi-2 para COPD 12 años.
chisq.test(df$sexogeneral,df$copdgeneral)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexogeneral and df$copdgeneral
X-squared = 12.644, df = 20, p-value = 0.8921chisq.test(df$sexo16,df$copd16)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo16 and df$copd16
X-squared = 9.2663, df = 12, p-value = 0.68chisq.test(df$sexo15,df$copd15)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo15 and df$copd15
X-squared = 9.3687, df = 12, p-value = 0.6712chisq.test(df$sexo14,df$copd14)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo14 and df$copd14
X-squared = 10.147, df = 14, p-value = 0.7513chisq.test(df$sexo13,df$copd13)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo13 and df$copd13
X-squared = 16.708, df = 10, p-value = 0.08109chisq.test(df$sexo12,df$copd12)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo12 and df$copd12
X-squared = 6.9156, df = 7, p-value = 0.4377chisq.test(df$sexo11,df$copd11)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo11 and df$copd11
X-squared = 8.4763, df = 9, p-value = 0.4869Ahora ceod para general y por años.
chisq.test(df$sexogeneral,df$ceodgeneral)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexogeneral and df$ceodgeneral
X-squared = 70.231, df = 12, p-value = 2.9e-10chisq.test(df$sexo16,df$ceod16)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo16 and df$ceod16
X-squared = 43.244, df = 10, p-value = 4.498e-06chisq.test(df$sexo15,df$ceod15)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo15 and df$ceod15
X-squared = 2.3668, df = 4, p-value = 0.6686chisq.test(df$sexo14,df$ceod14)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo14 and df$ceod14
X-squared = 38.521, df = 8, p-value = 6.031e-06chisq.test(df$sexo13,df$ceod13)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo13 and df$ceod13
X-squared = 109.02, df = 10, p-value < 2.2e-16chisq.test(df$sexo12,df$ceod12)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo12 and df$ceod12
X-squared = 4.1637, df = 2, p-value = 0.1247chisq.test(df$sexo11,df$ceod11)
Chi-squared approximation may be incorrect
Pearson's Chi-squared test
data: df$sexo11 and df$ceod11
X-squared = 3.2947, df = 3, p-value = 0.3484Desviaciones estandar
Hice cálculos en plantilla excel para 12 años
Promedio general COPD: 1.445328032 SD: 1.80870324
Promedio general cedo: 0.1868787276 SD: 0.7312509061
Promedio COPD 2016: 1.106870229 SD:1.575055107
Promedio ceod 2016: 0.2366412214 SD: 0.7629100266
Promedio COPD 2015: 1.222 SD:1.513956238
Promedio ceod 2015: 0.1944444444 SD: 0.8886408384
Promedio COPD 2014: 1.260273973 SD: 1.691706874
Promedio ceod 2014: 0.2054794521 SD:0.8326481201
Promeido COPD 2013: 1.39047619 SD: 1.490322875
Promedio ceod 2013: 0.2 SD:0.8814324007
Promedio COPD 2012: 1.816901408 SD:2.263435184
Promedio ceod 2012: 0.1971830986 SD:0.5242605217
Promedio COPD 2011: 1.965517241 SD:2.131972969
Promedio ceod 2011: 0.06896551724 SD:0.3974659104