## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred##
## Please cite as:## Hlavac, Marek (2018). stargazer: Well-Formatted Regression and Summary Statistics Tables.## R package version 5.2.2. https://CRAN.R-project.org/package=stargazerstargazer(searchreg, type="text", title="Was Search Conducted" )##
## Was Search Conducted
## ===============================================
## Dependent variable:
## ---------------------------
## searchyes
## -----------------------------------------------
## black 0.668***
## (0.016)
##
## hasID -0.175***
## (0.013)
##
## female -0.882***
## (0.016)
##
## SubjectAge 0.053***
## (0.003)
##
## AgeSQ -0.001***
## (0.00004)
##
## SubjectHeight 0.013***
## (0.001)
##
## SubjectWeight -0.001***
## (0.0001)
##
## morning -0.854***
## (0.024)
##
## afternoon -0.431***
## (0.017)
##
## evening -0.243***
## (0.015)
##
## ZoneIncidentReports -0.00000
## (0.00003)
##
## Constant -3.392***
## (0.092)
##
## -----------------------------------------------
## Observations 331,738
## Log Likelihood -93,256.180
## Akaike Inf. Crit. 186,536.400
## ===============================================
## Note: *p<0.1; **p<0.05; ***p<0.01stargazer(evi1, evi2, evi3, evi4, type="text", title="Was Evidence Found",
dep.var.labels = c("Any Evidence", "Drugs", "Weapons", "Other"))##
## Was Evidence Found
## ==================================================================
## Dependent variable:
## ----------------------------------------------
## Any Evidence Drugs Weapons Other
## (1) (2) (3) (4)
## ------------------------------------------------------------------
## black 0.211*** 0.213*** 1.410*** -0.370***
## (0.043) (0.047) (0.150) (0.099)
##
## hasID -0.384*** -0.408*** -0.370*** -0.160*
## (0.031) (0.034) (0.066) (0.084)
##
## female -0.275*** -0.259*** -1.404*** 0.144
## (0.042) (0.045) (0.131) (0.108)
##
## SubjectAge -0.080*** -0.071*** -0.068*** -0.042**
## (0.008) (0.009) (0.018) (0.017)
##
## AgeSQ 0.001*** 0.001*** -0.00004 0.001***
## (0.0001) (0.0001) (0.0003) (0.0002)
##
## SubjectHeight -0.0004 -0.0003 -0.013** -0.005
## (0.001) (0.0004) (0.006) (0.008)
##
## SubjectWeight -0.0003 -0.0001 0.00003 -0.002
## (0.0003) (0.0003) (0.0004) (0.001)
##
## morning -0.102 -0.166** 0.181 -0.182
## (0.067) (0.074) (0.135) (0.171)
##
## afternoon 0.170*** 0.171*** 0.339*** -0.100
## (0.043) (0.046) (0.087) (0.114)
##
## evening 0.254*** 0.274*** 0.169** -0.143
## (0.037) (0.039) (0.078) (0.099)
##
## ZoneIncidentReports 0.0001 -0.00001 0.0002 0.0004**
## (0.0001) (0.0001) (0.0002) (0.0002)
##
## Constant 0.155 -0.126 -1.762*** -2.585***
## (0.163) (0.173) (0.506) (0.633)
##
## ------------------------------------------------------------------
## Observations 29,203 29,203 29,203 29,203
## Log Likelihood -13,386.890 -12,004.780 -4,102.220 -2,845.413
## Akaike Inf. Crit. 26,797.780 24,033.560 8,228.439 5,714.826
## ==================================================================
## Note: *p<0.1; **p<0.05; ***p<0.01stargazer(arrest, type="text", title="Was there an arrest")##
## Was there an arrest
## ================================================
## Dependent variable:
## ---------------------------
## arrest
## ------------------------------------------------
## evidencedrugs 0.187*
## (0.109)
##
## black -0.301***
## (0.040)
##
## evidenceweapon -0.501
## (0.325)
##
## hasID 0.157***
## (0.027)
##
## female 0.476***
## (0.040)
##
## SubjectAge 0.070***
## (0.007)
##
## AgeSQ -0.001***
## (0.0001)
##
## SubjectHeight 0.005
## (0.003)
##
## SubjectWeight 0.0004
## (0.0003)
##
## morning -0.032
## (0.056)
##
## afternoon -0.031
## (0.038)
##
## evening -0.236***
## (0.032)
##
## ZoneIncidentReports 0.0002***
## (0.0001)
##
## evidencedrugs:black -0.148
## (0.117)
##
## black:evidenceweapon 1.433***
## (0.338)
##
## Constant -0.772***
## (0.238)
##
## ------------------------------------------------
## Observations 29,203
## Log Likelihood -16,112.990
## Akaike Inf. Crit. 32,257.980
## ================================================
## Note: *p<0.1; **p<0.05; ***p<0.01