13bzhang

predict.lm <- function(mod, predict.df, rob, cluster = NULL){
  
  ##Written by Joshua Gubler ~  http://scholar.byu.edu/jgubler
  ##Last updated on 26 June 2014
  ##Updated by Baobao Zhang
  ##This provides an option for robust (including cluster robust) or non-robust standard errors
  ##Note: when estimating a polynomial, you must create the quadratic/cubic as a separate variable first!!  This is also the best procedure when estimating logged effects.  However, when estimating interaction effects, there is no need to create a separate interaction term.
  ##Also note, that for this function to work well, you must input factor variables with more than two levels individually (as indiviual dummies).
  
  if(missing(predict.df)){ predict1.df <- mod$model }

imrvelj

Problem

In Arch Linux mkinitcpio -p linux

shows

Possibly missing firmware for module: aic94xx
 Possibly missing firmware for module: wd719x

xuxiaodong

# Default config for sway
#
# Copy this to ~/.config/sway/config and edit it to your liking.
#
# Read `man 5 sway` for a complete reference.

### Variables
#
# Logo key. Use Mod1 for Alt.
set $mod Mod4

viewv

import os
import requests
from ruamel import yaml
from tqdm import tqdm

URL = "Your Url"
PATH = "Your Config Path"
NAME = "config.yml"
IPHOST = "127.0.0.1:1234"  # external-controller

alexeyknorre

## Quick fix for stargazer <= 5.2.3 is.na() issue with long model names in R >= 4.2
# Unload stargazer if loaded
detach("package:stargazer",unload=T)
# Delete it
remove.packages("stargazer")
# Download the source
download.file("https://cran.r-project.org/src/contrib/stargazer_5.2.3.tar.gz", destfile = "stargazer_5.2.3.tar.gz")
# Unpack
untar("stargazer_5.2.3.tar.gz")
# Read the sourcefile with .inside.bracket fun