A list of emmGrid objects, one for each clinical analyte.

ANALYTES_EMM

Format

An object of class list of length 9.

Examples

names(ANALYTES_EMM) # clinical analytes
#> [1] "Corticosterone" "Glucagon"       "Glucose"        "Glycerol"      
#> [5] "Insulin"        "Ketones"        "Lactate"        "Leptin"        
#> [9] "NEFA"          

str(ANALYTES_EMM)
#> List of 9
#>  $ Corticosterone:
#> Loading required package: emmeans
#> 'emmGrid' object with variables:
#>     group = SED, 1W, 2W, 4W, 8W
#>     sex = Female, Male
#> Transformation: “log” 
#>  $ Glucagon      :'emmGrid' object with variables:
#>     group = SED, 1W, 2W, 4W, 8W
#>     age = 6M, 18M
#>     sex = Female, Male
#> Transformation: “log” 
#>  $ Glucose       :'emmGrid' object with variables:
#>     group = SED, 1W, 2W, 4W, 8W
#>     age = 6M, 18M
#>     sex = Female, Male
#> Transformation: “log” 
#>  $ Glycerol      :'emmGrid' object with variables:
#>     group = SED, 1W, 2W, 4W, 8W
#>     age = 6M, 18M
#>     sex = Female, Male
#> Transformation: “log” 
#>  $ Insulin       :'emmGrid' object with variables:
#>     group = SED, 1W, 2W, 4W, 8W
#>     age = 6M, 18M
#>     sex = Female, Male
#> Transformation: “log” 
#>  $ Ketones       :'emmGrid' object with variables:
#>     group = SED, 1W, 2W, 4W, 8W
#>     age = 6M, 18M
#>     sex = Female, Male
#> Transformation: “log” 
#>  $ Lactate       :'emmGrid' object with variables:
#>     group = SED, 1W, 2W, 4W, 8W
#>     age = 6M, 18M
#>     sex = Female, Male
#> Transformation: “log” 
#>  $ Leptin        :'emmGrid' object with variables:
#>     group = SED, 1W, 2W, 4W, 8W
#>     age = 6M, 18M
#>     sex = Female, Male
#> Transformation: “log” 
#>  $ NEFA          :'emmGrid' object with variables:
#>     group = SED, 1W, 2W, 4W, 8W
#>     age = 6M, 18M
#>     sex = Female, Male
#> Transformation: “log” 

# Print one of the emmGrid objects
summary(ANALYTES_EMM[["Corticosterone"]])
#> sex = Female:
#>  group response   SE  df lower.CL upper.CL null t.ratio p.value
#>  SED       23.9 3.42 189     18.0     31.7    1  22.197  <.0001
#>  1W        43.8 4.51 189     35.7     53.6    1  36.704  <.0001
#>  2W        36.6 3.71 189     29.9     44.7    1  35.486  <.0001
#>  4W        45.3 3.75 189     38.5     53.3    1  46.102  <.0001
#>  8W        30.6 3.33 189     24.7     37.9    1  31.375  <.0001
#> 
#> sex = Male:
#>  group response   SE  df lower.CL upper.CL null t.ratio p.value
#>  SED       33.5 4.41 189     25.9     43.5    1  26.705  <.0001
#>  1W        61.5 6.61 189     49.7     76.0    1  38.288  <.0001
#>  2W        51.3 6.11 189     40.6     64.9    1  33.093  <.0001
#>  4W        63.6 4.96 189     54.5     74.1    1  53.212  <.0001
#>  8W        42.9 3.97 189     35.8     51.5    1  40.661  <.0001
#> 
#> Confidence level used: 0.95 
#> Intervals are back-transformed from the log scale 
#> Tests are performed on the log scale