I just ran a statisitical model and i want it to display the results of the model as a table using stargazer. However, the large numbers are displayed in full.
fit2<-lm(A~B,data=C)
stargazer(fit2,type="text")
With this table as result
===================================================
Dependent variable:
-------------------------------
A
---------------------------------------------------
B -0.599
(1.698)
32,126,391.000
(24,004,268.000)
---------------------------------------------------
Observations 5
R2 0.040
Adjusted R2 -0.280
Residual Std. Error 31,217,258.000 (df = 3e+00)
F Statistic 0.124 (df = 1e+00; 3e+00)
===================================================
Note: *p<1e-01; **p<5e-02; ***p<1e-02
How do I get the large numbers displayed as scientific i.e: 3.12e+07, please? I have tried:
options("scipen"=-20,"digit"=2)
fit1<-format(lm(A~B,data=C),scientific=T)
This however causes the summary of the model to be distortrd and displayed as a single row. What are the best ways to format the numbers and retain the table structure, please?
CO NO2 SM
Dec 2004 2.750000e+18 1.985136e+15 0.2187433
Jan 2005 2.980000e+18 2.144211e+15 0.1855678
Feb 2005 2.810000e+18 1.586491e+15 0.1764805
Dec 2005 3.010000e+18 1.755409e+15 0.2307153
Jan 2006 3.370000e+18 2.205888e+15 0.2046671
Feb 2006 3.140000e+18 2.084682e+15 0.1834232
Dec 2006 2.940000e+18 1.824735e+15 0.1837391
Jan 2007 3.200000e+18 2.075785e+15 0.1350665
Feb 2007 3.060000e+18 1.786481e+15 0.1179924
Dec 2007 2.750000e+18 1.645800e+15 0.2037340
Jan 2008 3.030000e+18 1.973517e+15 0.1515871
Feb 2008 3.040000e+18 1.753803e+15 0.1289968
Dec 2008 2.800000e+18 1.649315e+15 0.1968024
Jan 2009 3.090000e+18 1.856762e+15 0.1630173
Feb 2009 2.880000e+18 1.610011e+15 0.1446938
Dec 2009 2.660000e+18 1.562971e+15 0.1986012
Jan 2010 2.864333e+18 1.733843e+15 0.1559205
Feb 2010 2.881474e+18 1.469982e+15 0.1397536
Dec 2010 2.730000e+18 1.652751e+15 0.2129476
Jan 2011 3.030000e+18 1.862774e+15 0.1681295
Feb 2011 2.850000e+18 1.658988e+15 0.1531579
To do this, you can write your own function to take the large numbers and put them into scientific notation.
First, load the stargazer package:
library(stargazer)
Then, create data with large numbers for the example:
set.seed(1)
C <- data.frame("A" = rnorm(10000, 30000, 10000),
"B" = rnorm(10000, 7500, 2500))
Fit the model and store the stargazer results table in an object:
fit2 <- lm(A ~ B, data = C)
myResults <- stargazer(fit2, type = "text")
Create a function to take a stargazer table and convert large numbers into scientific notation. (This is not very flexible but can be with simple modifications. Right now only works for 1,000 - 99,999)
fixNumbers <- function(stargazer.object){
so <- stargazer.object
rows <- grep(".*[\\d+],[\\d+].*", so, perl = T)
for(row in rows){
# Get number and format into scientific notation
number <- as.numeric(sub(".*([0-9]{1,2}),([0-9]+\\.?[0-9]*).*", "\\1\\2", so[row], perl = T))
formatted_num <- sprintf("%.2e", number)
so[row] <- sub("(.*)[0-9]{1,2},[0-9]+\\.?[0-9]*(.*)", paste0("\\1", formatted_num, "\\2"), so[row], perl = T)
}
# Print result
for(i in 1:length(so)){
cat(so[i], "\n")
}
}
Give the new function (fixNumbers) your stargazer object:
fixNumbers(myResults)
-- Here's all the code in one chunk: --
library(stargazer)
set.seed(1)
C <- data.frame("A" = rnorm(10000, 30000, 10000),
"B" = rnorm(10000, 7500, 2500))
fit2 <- lm(A ~ B, data = C)
myResults <- stargazer(fit2, type = "text")
fixNumbers <- function(stargazer.object){
so <- stargazer.object
rows <- grep(".*[\\d+],[\\d+].*", so, perl = T)
for(row in rows){
# Get number and format into scientific notation
number <- as.numeric(sub(".*([0-9]{1,2}),([0-9]+\\.?[0-9]*).*", "\\1\\2", so[row], perl = T))
formatted_num <- sprintf("%.2e", number)
so[row] <- sub("(.*)[0-9]{1,2},[0-9]+\\.?[0-9]*(.*)", paste0("\\1", formatted_num, "\\2"), so[row], perl = T)
}
# Print result
for(i in 1:length(so)){
cat(so[i], "\n")
}
}
fixNumbers(myResults)
Following Adam K idea, but with a bit more of optimized regex (and making use of vectorisation, which is good idea in R):
fit2<-lm(CO~NO2,data=df)
test <- stargazer(fit2,type="text",)
It is a two line regex: you need to find the number (here of more than five numbers), that are string with number, comma and points
m <- gregexpr("([0-9\\.,]{5,})", test)
you need to apply a transformation function to that (here supress the comma, make a number, and display it in scientific with 2 digits. You can consider also the formatC which gives a lot of possibility):
f = function(x){
sprintf("%.2e",as.numeric( gsub(",","",x)))
}
and you apply it to your regex using the regmatches function
regmatches(test, m) <- lapply(regmatches(test, m), f)
test
[1] ""
[2] "========================================================"
[3] " Dependent variable: "
[4] " ------------------------------------"
[5] " CO "
[6] "--------------------------------------------------------"
[7] "NO2 6.26e+02** "
[8] " (2.41e+02) "
[9] " "
[10] "Constant 1.81e+18*** "
[11] " (4.62e+17) "
[12] " "
[13] "--------------------------------------------------------"
[14] "Observations 10 "
[15] "R2 4.58e-01 "
[16] "Adjusted R2 3.90e-01 "
[17] "Residual Std. Error 1.57e+17 (df = 8)"
[18] "F Statistic 6.76e+00** (df = 1; 8) "
[19] "========================================================"
[20] "Note: *p<0.1; **p<0.05; ***p<0.01"
To otbain the same output as the original:
print(as.data.frame(test),quote = F,row.names = FALSE)
test
========================================================
Dependent variable:
------------------------------------
CO
--------------------------------------------------------
NO2 6.26e+02**
(2.41e+02)
Constant 1.81e+18***
(4.62e+17)
--------------------------------------------------------
Observations 10
R2 4.58e-01
Adjusted R2 3.90e-01
Residual Std. Error 1.57e+17 (df = 8)
F Statistic 6.76e+00** (df = 1; 8)
========================================================
Note: *p<0.1; **p<0.05; ***p<0.01
the data:
df <- read.table(text = "
CO NO2 SM
2.750000e+18 1.985136e+15 0.2187433
2.980000e+18 2.144211e+15 0.1855678
2.810000e+18 1.586491e+15 0.1764805
3.010000e+18 1.755409e+15 0.2307153
3.370000e+18 2.205888e+15 0.2046671
3.140000e+18 2.084682e+15 0.1834232
2.940000e+18 1.824735e+15 0.1837391
3.200000e+18 2.075785e+15 0.1350665
3.060000e+18 1.786481e+15 0.1179924
2.750000e+18 1.645800e+15 0.2037340",header = T)
The problem is not that these packages cannot display scientific notation. The problem is rather that your independent variables are on an extremely small scale. You should rescale them before you use them in your model by multiplying the values by some constant. For example, when you deal with the size of persons in kilometers, you may want to rescale them to meters or centimeters. This would make the table much easier to read than displaying the results in scientific notation.
Consider the following example:
a <- c(4.17, 5.58, 5.18, 6.11, 4.50, 4.61, 5.17, 4.53, 5.33, 5.14)
b <- c(0.00020, 0.00024, 0.00024, 0.00026, 0.00021, 0.00022, 0.00023,
0.00022, 0.00023, 0.00022)
model.1 <- lm(a ~ b)
Next, create your table with texreg:
library("texreg")
screenreg(model.1)
This yields the following table:
=========================
Model 1
-------------------------
(Intercept) -2.27 *
(0.94)
b 32168.58 ***
(4147.00)
-------------------------
R^2 0.88
Adj. R^2 0.87
Num. obs. 10
=========================
*** p < 0.001, ** p < 0.01, * p < 0.05
So the coefficients are pretty large. Let's try the same thing with stargazer:
library("stargazer")
stargazer(model.1, type = "text")
The resulting table:
===============================================
Dependent variable:
---------------------------
a
-----------------------------------------------
b 32,168.580***
(4,146.999)
Constant -2.270**
(0.944)
-----------------------------------------------
Observations 10
R2 0.883
Adjusted R2 0.868
Residual Std. Error 0.212 (df = 8)
F Statistic 60.172*** (df = 1; 8)
===============================================
Note: *p<0.1; **p<0.05; ***p<0.01
Same problem: large coefficients. Now rescale your original variable b and recompute the model:
b <- b * 10000
model.2 <- lm(a ~ b)
Try it again with texreg:
screenreg(model.2)
======================
Model 1
----------------------
(Intercept) -2.27 *
(0.94)
b 3.22 ***
(0.41)
----------------------
R^2 0.88
Adj. R^2 0.87
Num. obs. 10
======================
*** p < 0.001, ** p < 0.01, * p < 0.05
And with stargazer:
stargazer(model.2, type = "text")
===============================================
Dependent variable:
---------------------------
a
-----------------------------------------------
b 3.217***
(0.415)
Constant -2.270**
(0.944)
-----------------------------------------------
Observations 10
R2 0.883
Adjusted R2 0.868
Residual Std. Error 0.212 (df = 8)
F Statistic 60.172*** (df = 1; 8)
===============================================
Note: *p<0.1; **p<0.05; ***p<0.01
Now the coefficients look nicer and you do not need scientific notation.
来源：https://stackoverflow.com/questions/28873616/format-model-display-in-texreg-or-stargazer-r-as-scientific