Output in table like SAS

Hi am doing logistic regression in R and i want to know if i can stock the regression result like coef, std, p-value in a table like on SAS. I have the result but as in the next image i dont want this kind of présentation.

Thanks

There are lots of packages to do this in R, actually. While you could certainly do it manually (selecting each element you want), it's a common enough task that several have presets to do what I think you want (I'm not a SAS user, so I don't know exactly what their tables look like).
If you're using R Markdown it will depend a bit on what output type you want. The Hmisc package does very nice summaries http://biostat.mc.vanderbilt.edu/wiki/Main/Hmisc.

There's a blog post (see link below) with examples from a package called finalfit

The sjPlot package does nice model summary tables as HTML:
http://www.strengejacke.de/sjPlot/articles/sjtlm.html

# load package
library(sjPlot)
#> Install package "strengejacke" from GitHub (`devtools::install_github("strengejacke/strengejacke")`) to load all sj-packages at once!
library(sjmisc)
library(sjlabelled)

# sample data
data("efc")
efc <- as_factor(efc, c161sex, c172code)

efc$neg_c_7d <- ifelse(efc$neg_c_7 < median(efc$neg_c_7, na.rm = TRUE), 0, 1)
m4 <- glm(
  neg_c_7d ~ c161sex + barthtot + c172code,
  data = efc,
  family = binomial(link = "logit")
)

tab_model(m4, show.se = TRUE, show.std = TRUE, show.stat = TRUE)

neg c 7 d

Predictors

Odds Ratios

std. Error

std. Beta

CI

standardized CI

Statistic

p

(Intercept)

6.54

0.30

-0.37

3.66 – 11.96

-0.80 – 0.06

-1.69

0.09

carer’s gender: Female

1.87

0.18

0.63

1.31 – 2.69

0.27 – 0.99

3.40

0.00

Total score BARTHEL INDEX

0.97

0.00

-1.03

0.96 – 0.97

-1.22 – -0.85

-10.72

0.00

carer’s level of
education: intermediate
level of education

1.23

0.20

0.21

0.84 – 1.82

-0.18 – 0.60

1.06

0.29

carer’s level of
education: high level of
education

1.37

0.25

0.31

0.84 – 2.23

-0.17 – 0.80

1.27

0.20

Observations

815

R2 Tjur

0.191

Created on 2019-11-21 by the reprex package (v0.3.0.9001)

See also the post here:

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