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

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 |
1.23 |
0.20 |
0.21 |
0.84 – 1.82 |
-0.18 – 0.60 |
1.06 |
0.29 |

carer’s level of |
1.37 |
0.25 |
0.31 |
0.84 – 2.23 |
-0.17 – 0.80 |
1.27 |
0.20 |

Observations |
815 |
||||||

R |
0.191 |

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

See also the post here:

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