Standards for reporting statistics

ClinReport enables to export tables an graphics of statistics according to the following standards:

Those are standards that are frequently used in scientific publications, including the reporting of epidemiological or clinical statistics.

For quantitative statistics:

For qualitative statistics:

For Least-Square Means statistics and P-values:

Example with ClinReport

The purpose of the package ClinReport is to simplify the Statistical Reporting given the above standards.

They are the default options so few lines of code are necessary.

Example:

library(ClinReport)
library(officer)
library(flextable)

data(datafake)

# Default quantitative stat desc

tab1=report.quanti(data=datafake,y="y_numeric",
        x1="GROUP",y.label="Quantitative response (units)",
        subjid="SUBJID",total=T)

# Default qualitative stat desc

tab2=report.quali(data=datafake,y="y_logistic",
        x1="GROUP",y.label="Qualitative response",
        subjid="SUBJID",total=T)

# Binding them into a single table

tab=regroup(tab1,tab2)

# In the R console, it looks like

tab
#> 
#> ############################################
#> 
#> ############################################
#> 
#>                         Response Levels    Statistics     A (N=30)
#> 1  Quantitative response (units)                    N          180
#> 2  Quantitative response (units)            Mean (SD)   1.46(1.50)
#> 3  Quantitative response (units)               Median         1.59
#> 4  Quantitative response (units)              [Q1;Q3]  [0.45;2.50]
#> 5  Quantitative response (units)            [Min;Max] [-2.34;4.36]
#> 6  Quantitative response (units)              Missing            4
#> 7                                                                 
#> 8           Qualitative response      0  n (column %)   79(43.89%)
#> 9           Qualitative response      1  n (column %)   97(53.89%)
#> 10          Qualitative response         Missing n(%)     4(2.22%)
#>        B (N=21)     C (N=17) Total (N=68)
#> 1           120           96          396
#> 2    3.15(2.00)   3.87(2.52)   2.56(2.20)
#> 3          3.75         4.73         2.71
#> 4   [2.46;4.44]  [3.44;5.30]  [1.04;4.33]
#> 5  [-2.44;6.19] [-2.99;7.96] [-2.99;7.96]
#> 6             4            2           10
#> 7                                        
#> 8    60(50.00%)   47(48.96%)  186(46.97%)
#> 9    59(49.17%)   44(45.83%)  200(50.51%)
#> 10     1(0.83%)     5(5.21%)    10(2.53%)
#> 
#> ############################################

# Create formatted output for Microsoft Word or R markdown documents (like this one)

doc=report.doc(tab,title="Table of classic descriptive statistics (qualitative and quantitative parameter)",
        colspan.value="Treatment group", init.numbering =T )            

doc

Table 1: Table of classic descriptive statistics (qualitative and quantitative parameter)

Treatment group

Response

Levels

Statistics

A (N=30)

B (N=21)

C (N=17)

Total (N=68)

Quantitative response (units)

N

180

120

96

396

Mean (SD)

1.46(1.50)

3.15(2.00)

3.87(2.52)

2.56(2.20)

Median

1.59

3.75

4.73

2.71

[Q1;Q3]

[0.45;2.50]

[2.46;4.44]

[3.44;5.30]

[1.04;4.33]

[Min;Max]

[-2.34;4.36]

[-2.44;6.19]

[-2.99;7.96]

[-2.99;7.96]

Missing

4

4

2

10

Qualitative response

0

n (column %)

79(43.89%)

60(50.00%)

47(48.96%)

186(46.97%)

1

n (column %)

97(53.89%)

59(49.17%)

44(45.83%)

200(50.51%)

Missing n(%)

4(2.22%)

1(0.83%)

5(5.21%)

10(2.53%)

By default, this table respect all the standards described above.