Flip order Columns / Rows in a table












1















I'm using the epiR package as it does nice 2 by 2 contingency tables with odds ratios, and population attributable fractions.



As is common my data is coded
0 = No
1 = Yes



So when I do



tabele(var_1,var_2)


The output comes out as a table aligned like



enter image description here



For its input though epiR wants the top left square to be Exposed+VE Outcome+VE - i.e the top left square should be Var 1==1 and Var 2==1



Currently I do this by recoding the zeroes to 2 or alternatively by setting as a factor and using re-level. Both of these are slightly annoying for other analyses as in general I want Outcome+VE to come after Outcome-VE



So I wondered if there is an easy way (?within table) to flip the orientation of table so that it essentially inverts the ordering of the rows/columns?



Hope the above makes sense - happy to provide clarification if not.




Edit: Thanks for suggestions below; just for clarification I want to be able to do this when calling table from existing dataframe variable - i.e when what I am doing is table(data$var_1, data$var_2) - ideally without having to create a whole new object






r contingency







share|improve this question

























  • Is "tabele" a typo, and meant to be "table"?

    – zx8754
    Nov 26 '18 at 8:52
















1















I'm using the epiR package as it does nice 2 by 2 contingency tables with odds ratios, and population attributable fractions.



As is common my data is coded
0 = No
1 = Yes



So when I do



tabele(var_1,var_2)


The output comes out as a table aligned like



enter image description here



For its input though epiR wants the top left square to be Exposed+VE Outcome+VE - i.e the top left square should be Var 1==1 and Var 2==1



Currently I do this by recoding the zeroes to 2 or alternatively by setting as a factor and using re-level. Both of these are slightly annoying for other analyses as in general I want Outcome+VE to come after Outcome-VE



So I wondered if there is an easy way (?within table) to flip the orientation of table so that it essentially inverts the ordering of the rows/columns?



Hope the above makes sense - happy to provide clarification if not.




Edit: Thanks for suggestions below; just for clarification I want to be able to do this when calling table from existing dataframe variable - i.e when what I am doing is table(data$var_1, data$var_2) - ideally without having to create a whole new object






r contingency







share|improve this question

























  • Is "tabele" a typo, and meant to be "table"?

    – zx8754
    Nov 26 '18 at 8:52














1












1








1








I'm using the epiR package as it does nice 2 by 2 contingency tables with odds ratios, and population attributable fractions.



As is common my data is coded
0 = No
1 = Yes



So when I do



tabele(var_1,var_2)


The output comes out as a table aligned like



enter image description here



For its input though epiR wants the top left square to be Exposed+VE Outcome+VE - i.e the top left square should be Var 1==1 and Var 2==1



Currently I do this by recoding the zeroes to 2 or alternatively by setting as a factor and using re-level. Both of these are slightly annoying for other analyses as in general I want Outcome+VE to come after Outcome-VE



So I wondered if there is an easy way (?within table) to flip the orientation of table so that it essentially inverts the ordering of the rows/columns?



Hope the above makes sense - happy to provide clarification if not.




Edit: Thanks for suggestions below; just for clarification I want to be able to do this when calling table from existing dataframe variable - i.e when what I am doing is table(data$var_1, data$var_2) - ideally without having to create a whole new object






r contingency







share|improve this question
















I'm using the epiR package as it does nice 2 by 2 contingency tables with odds ratios, and population attributable fractions.



As is common my data is coded
0 = No
1 = Yes



So when I do



tabele(var_1,var_2)


The output comes out as a table aligned like



enter image description here



For its input though epiR wants the top left square to be Exposed+VE Outcome+VE - i.e the top left square should be Var 1==1 and Var 2==1



Currently I do this by recoding the zeroes to 2 or alternatively by setting as a factor and using re-level. Both of these are slightly annoying for other analyses as in general I want Outcome+VE to come after Outcome-VE



So I wondered if there is an easy way (?within table) to flip the orientation of table so that it essentially inverts the ordering of the rows/columns?



Hope the above makes sense - happy to provide clarification if not.




Edit: Thanks for suggestions below; just for clarification I want to be able to do this when calling table from existing dataframe variable - i.e when what I am doing is table(data$var_1, data$var_2) - ideally without having to create a whole new object






r contingency




r contingency






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 26 '18 at 22:21









zx8754

29.8k76399




29.8k76399










asked Nov 26 '18 at 8:15









mmarksmmarks

31517




31517













  • Is "tabele" a typo, and meant to be "table"?

    – zx8754
    Nov 26 '18 at 8:52



















  • Is "tabele" a typo, and meant to be "table"?

    – zx8754
    Nov 26 '18 at 8:52

















Is "tabele" a typo, and meant to be "table"?

– zx8754
Nov 26 '18 at 8:52





Is "tabele" a typo, and meant to be "table"?

– zx8754
Nov 26 '18 at 8:52












2 Answers
2






active

oldest

votes


















5














Table is a simple matrix. You can just call indices in reverse order.



xy <- table(data.frame(value = rbinom(100, size = 1, prob = 0.5),

           variable = letters[1:2]))



     variable

value  a  b

    0 20 22

    1 30 28



xy[2:1, 2:1]



     variable

value  b  a

    1 20 30

    0 30 20





share|improve this answer
























  • Thanks - is there a way to do this when calling table from existing dataframe - i.e when what I am doing is table(data$var_1, data$var_2)

    – mmarks
    Nov 26 '18 at 22:19





















3














Using factor levels:



# reproducible example (adapted from Roman's answer)

df1 <- data.frame(value = rbinom(100, size = 1, prob = 0.5),

                  variable = letters[1:2])



table(df1)

#      variable

# value  a  b

#     0 32 23

#     1 18 27



#convert to factor, specify levels

df1$value <- factor(df1$value, levels = c("1", "0"))

df1$variable <- factor(df1$variable, levels = c("b", "a"))



table(df1)

#      variable

# value  b  a

#     1 24 26

#     0 26 24





share|improve this answer
























  • Thanks - as mentioned above I'm trying to find an example that doesn't involve actually altering the values - because its a quirk of epiR that it wants this layout so I just want something to flip the values essentially within the call to function

    – mmarks
    Nov 26 '18 at 22:16






  • 1





    then table(transform(df1, value = factor(value, levels = c("1", "0"), variable = factor(variable, levels = c("b", "a")))

    – Moody_Mudskipper
    Dec 2 '18 at 2:29











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2 Answers
2






active

oldest

votes








2 Answers
2






active

oldest

votes









active

oldest

votes






active

oldest

votes









5














Table is a simple matrix. You can just call indices in reverse order.



xy <- table(data.frame(value = rbinom(100, size = 1, prob = 0.5),

           variable = letters[1:2]))



     variable

value  a  b

    0 20 22

    1 30 28



xy[2:1, 2:1]



     variable

value  b  a

    1 20 30

    0 30 20





share|improve this answer
























  • Thanks - is there a way to do this when calling table from existing dataframe - i.e when what I am doing is table(data$var_1, data$var_2)

    – mmarks
    Nov 26 '18 at 22:19


















5














Table is a simple matrix. You can just call indices in reverse order.



xy <- table(data.frame(value = rbinom(100, size = 1, prob = 0.5),

           variable = letters[1:2]))



     variable

value  a  b

    0 20 22

    1 30 28



xy[2:1, 2:1]



     variable

value  b  a

    1 20 30

    0 30 20





share|improve this answer
























  • Thanks - is there a way to do this when calling table from existing dataframe - i.e when what I am doing is table(data$var_1, data$var_2)

    – mmarks
    Nov 26 '18 at 22:19
















5












5








5







Table is a simple matrix. You can just call indices in reverse order.



xy <- table(data.frame(value = rbinom(100, size = 1, prob = 0.5),

           variable = letters[1:2]))



     variable

value  a  b

    0 20 22

    1 30 28



xy[2:1, 2:1]



     variable

value  b  a

    1 20 30

    0 30 20





share|improve this answer













Table is a simple matrix. You can just call indices in reverse order.



xy <- table(data.frame(value = rbinom(100, size = 1, prob = 0.5),

           variable = letters[1:2]))



     variable

value  a  b

    0 20 22

    1 30 28



xy[2:1, 2:1]



     variable

value  b  a

    1 20 30

    0 30 20






share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 26 '18 at 8:22









Roman LuštrikRoman Luštrik

49.8k19109160




49.8k19109160













  • Thanks - is there a way to do this when calling table from existing dataframe - i.e when what I am doing is table(data$var_1, data$var_2)

    – mmarks
    Nov 26 '18 at 22:19





















  • Thanks - is there a way to do this when calling table from existing dataframe - i.e when what I am doing is table(data$var_1, data$var_2)

    – mmarks
    Nov 26 '18 at 22:19



















Thanks - is there a way to do this when calling table from existing dataframe - i.e when what I am doing is table(data$var_1, data$var_2)

– mmarks
Nov 26 '18 at 22:19







Thanks - is there a way to do this when calling table from existing dataframe - i.e when what I am doing is table(data$var_1, data$var_2)

– mmarks
Nov 26 '18 at 22:19















3














Using factor levels:



# reproducible example (adapted from Roman's answer)

df1 <- data.frame(value = rbinom(100, size = 1, prob = 0.5),

                  variable = letters[1:2])



table(df1)

#      variable

# value  a  b

#     0 32 23

#     1 18 27



#convert to factor, specify levels

df1$value <- factor(df1$value, levels = c("1", "0"))

df1$variable <- factor(df1$variable, levels = c("b", "a"))



table(df1)

#      variable

# value  b  a

#     1 24 26

#     0 26 24





share|improve this answer
























  • Thanks - as mentioned above I'm trying to find an example that doesn't involve actually altering the values - because its a quirk of epiR that it wants this layout so I just want something to flip the values essentially within the call to function

    – mmarks
    Nov 26 '18 at 22:16






  • 1





    then table(transform(df1, value = factor(value, levels = c("1", "0"), variable = factor(variable, levels = c("b", "a")))

    – Moody_Mudskipper
    Dec 2 '18 at 2:29
















3














Using factor levels:



# reproducible example (adapted from Roman's answer)

df1 <- data.frame(value = rbinom(100, size = 1, prob = 0.5),

                  variable = letters[1:2])



table(df1)

#      variable

# value  a  b

#     0 32 23

#     1 18 27



#convert to factor, specify levels

df1$value <- factor(df1$value, levels = c("1", "0"))

df1$variable <- factor(df1$variable, levels = c("b", "a"))



table(df1)

#      variable

# value  b  a

#     1 24 26

#     0 26 24





share|improve this answer
























  • Thanks - as mentioned above I'm trying to find an example that doesn't involve actually altering the values - because its a quirk of epiR that it wants this layout so I just want something to flip the values essentially within the call to function

    – mmarks
    Nov 26 '18 at 22:16






  • 1





    then table(transform(df1, value = factor(value, levels = c("1", "0"), variable = factor(variable, levels = c("b", "a")))

    – Moody_Mudskipper
    Dec 2 '18 at 2:29














3












3








3







Using factor levels:



# reproducible example (adapted from Roman's answer)

df1 <- data.frame(value = rbinom(100, size = 1, prob = 0.5),

                  variable = letters[1:2])



table(df1)

#      variable

# value  a  b

#     0 32 23

#     1 18 27



#convert to factor, specify levels

df1$value <- factor(df1$value, levels = c("1", "0"))

df1$variable <- factor(df1$variable, levels = c("b", "a"))



table(df1)

#      variable

# value  b  a

#     1 24 26

#     0 26 24





share|improve this answer













Using factor levels:



# reproducible example (adapted from Roman's answer)

df1 <- data.frame(value = rbinom(100, size = 1, prob = 0.5),

                  variable = letters[1:2])



table(df1)

#      variable

# value  a  b

#     0 32 23

#     1 18 27



#convert to factor, specify levels

df1$value <- factor(df1$value, levels = c("1", "0"))

df1$variable <- factor(df1$variable, levels = c("b", "a"))



table(df1)

#      variable

# value  b  a

#     1 24 26

#     0 26 24






share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 26 '18 at 8:50









zx8754zx8754

29.8k76399




29.8k76399













  • Thanks - as mentioned above I'm trying to find an example that doesn't involve actually altering the values - because its a quirk of epiR that it wants this layout so I just want something to flip the values essentially within the call to function

    – mmarks
    Nov 26 '18 at 22:16






  • 1





    then table(transform(df1, value = factor(value, levels = c("1", "0"), variable = factor(variable, levels = c("b", "a")))

    – Moody_Mudskipper
    Dec 2 '18 at 2:29



















  • Thanks - as mentioned above I'm trying to find an example that doesn't involve actually altering the values - because its a quirk of epiR that it wants this layout so I just want something to flip the values essentially within the call to function

    – mmarks
    Nov 26 '18 at 22:16






  • 1





    then table(transform(df1, value = factor(value, levels = c("1", "0"), variable = factor(variable, levels = c("b", "a")))

    – Moody_Mudskipper
    Dec 2 '18 at 2:29

















Thanks - as mentioned above I'm trying to find an example that doesn't involve actually altering the values - because its a quirk of epiR that it wants this layout so I just want something to flip the values essentially within the call to function

– mmarks
Nov 26 '18 at 22:16





Thanks - as mentioned above I'm trying to find an example that doesn't involve actually altering the values - because its a quirk of epiR that it wants this layout so I just want something to flip the values essentially within the call to function

– mmarks
Nov 26 '18 at 22:16




1




1





then table(transform(df1, value = factor(value, levels = c("1", "0"), variable = factor(variable, levels = c("b", "a")))

– Moody_Mudskipper
Dec 2 '18 at 2:29





then table(transform(df1, value = factor(value, levels = c("1", "0"), variable = factor(variable, levels = c("b", "a")))

– Moody_Mudskipper
Dec 2 '18 at 2:29


















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