Codebook for State-Level Estimates of Mass Conservatism used in Devin Caughey’s \emph{The Unsolid South}

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```{r , echo=FALSE, include=FALSE, warning=FALSE, message=FALSE, error=FALSE} library("ggplot2") library("pander") ``` ```{r 'visualFunctions', echo=FALSE, include=FALSE, warning=FALSE, message=FALSE, error=FALSE} ggAggHist <- getFromNamespace("ggAggHist", "dataMaid") ggAggBarplot <- getFromNamespace("ggAggBarplot", "dataMaid") ``` # Data report overview The dataset examined has the following dimensions: --------------------------------- Feature Result ------------------------ -------- Number of observations 816 Number of variables 18 --------------------------------- # Codebook summary table ---------------------------------------------------------------------------------------------- Label Variable Class # unique Missing Description values ----------------- ------------------------------- --------- ---------- --------- ------------- state postal **[stpo]** factor 48 0.00 % code year **[year]** integer 17 0.00 % economic **[con\_econ\_vap\_est]** numeric 816 0.00 % conservatism of the voting-age public (i.e., over 21), posterior mean economic **[con\_econ\_vap\_se]** numeric 816 0.00 % conservatism of the voting-age public (i.e., over 21), posterior SD economic **[con\_econ\_vep\_est]** numeric 816 0.00 % conservatism of the voting-eligible public (i.e., over 21 except black Southerners), posterior mean economic **[con\_econ\_vep\_se]** numeric 816 0.00 % conservatism of the voting-eligible public (i.e., over 21 except black Southerners), posterior SD conservatism **[con\_nonlabor\_vap\_est]** numeric 816 0.00 % of the voting-age public (i.e., over 21) on non-labor economic issues, posterior mean conservatism **[con\_nonlabor\_vap\_se]** numeric 816 0.00 % of the voting-age public (i.e., over 21) on non-labor economic issues, posterior SD conservatism **[con\_nonlabor\_vep\_est]** numeric 816 0.00 % of the voting-eligible public (i.e., over 21 except black Southerners) on non-labor economic issues, posterior mean conservatism **[con\_nonlabor\_vep\_se]** numeric 816 0.00 % of the voting-eligible public (i.e., over 21 except black Southerners) on non-labor economic issues, posterior SD economic **[con\_labor\_vap\_est]** numeric 769 5.88 % conservatism of the voting-age public (i.e., over 21) on labor economic issues, posterior mean economic **[con\_labor\_vap\_se]** numeric 769 5.88 % conservatism of the voting-age public (i.e., over 21) on labor economic issues, posterior SD economic **[con\_labor\_vep\_est]** numeric 769 5.88 % conservatism of the voting-eligible public (i.e., over 21 except black Southerners) on labor economic issues, posterior mean economic **[con\_labor\_vep\_se]** numeric 769 5.88 % conservatism of the voting-eligible public (i.e., over 21 except black Southerners) on labor economic issues, posterior SD racial **[con\_race\_vap\_est]** numeric 769 5.88 % conservatism of the voting-age public (i.e., over 21), posterior mean racial **[con\_race\_vap\_se]** numeric 769 5.88 % conservatism of the voting-age public (i.e., over 21), posterior SD racial **[con\_race\_vep\_est]** numeric 769 5.88 % conservatism of the voting-eligible public (i.e., over 21 except black Southerners), posterior mean racial **[con\_race\_vep\_se]** numeric 769 5.88 % conservatism of the voting-eligible public (i.e., over 21 except black Southerners), posterior SD ---------------------------------------------------------------------------------------------- # Variable list ## stpo *state postal code* \bminione ----------------------------------- Feature Result ------------------------- --------- Variable type factor Number of missing obs. 0 (0 %) Number of unique values 48 Mode "AL" Reference category AL ----------------------------------- \emini \bminitwo ```{r 'Var-1-stpo', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE} ggAggBarplot(data = structure(list(x = structure(1:48, .Label = c("AL", "AR", "AZ", "CA", "CO", "CT", "DE", "FL", "GA", "IA", "ID", "IL", "IN", "KS", "KY", "LA", "MA", "MD", "ME", "MI", "MN", "MO", "MS", "MT", "NC", "ND", "NE", "NH", "NJ", "NM", "NV", "NY", "OH", "OK", "OR", "PA", "RI", "SC", "SD", "TN", "TX", "UT", "VA", "VT", "WA", "WI", "WV", "WY"), class = "factor"), y = c(17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L)), class = "data.frame", row.names = c(NA, -48L)), vnam = "stpo") ``` \emini - Observed factor levels: \"AL\", \"AR\", \"AZ\", \"CA\", \"CO\", \"CT\", \"DE\", \"FL\", \"GA\", \"IA\", \"ID\", \"IL\", \"IN\", \"KS\", \"KY\", \"LA\", \"MA\", \"MD\", \"ME\", \"MI\", \"MN\", \"MO\", \"MS\", \"MT\", \"NC\", \"ND\", \"NE\", \"NH\", \"NJ\", \"NM\", \"NV\", \"NY\", \"OH\", \"OK\", \"OR\", \"PA\", \"RI\", \"SC\", \"SD\", \"TN\", \"TX\", \"UT\", \"VA\", \"VT\", \"WA\", \"WI\", \"WV\", \"WY\". \fullline ## year *year* \bminione -------------------------------------- Feature Result ------------------------- ------------ Variable type integer Number of missing obs. 0 (0 %) Number of unique values 17 Median 1944 1st and 3rd quartiles 1940; 1948 Min. and max. 1936; 1952 -------------------------------------- \emini \bminitwo ```{r 'Var-2-year', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE} ggAggHist(data = structure(list(xmin = c(1936L, 1938L, 1940L, 1942L, 1944L, 1946L, 1948L, 1950L), xmax = c(1938L, 1940L, 1942L, 1944L, 1946L, 1948L, 1950L, 1952L), ymin = c(0, 0, 0, 0, 0, 0, 0, 0), ymax = c(144L, 96L, 96L, 96L, 96L, 96L, 96L, 96L)), class = "data.frame", row.names = c(NA, -8L)), vnam = "year") ``` \emini \fullline ## con\_econ\_vap\_est *economic conservatism of the voting-age public (i.e., over 21), posterior mean* \bminione --------------------------------------- Feature Result ------------------------- ------------- Variable type numeric Number of missing obs. 0 (0 %) Number of unique values 816 Median 0.07 1st and 3rd quartiles -0.05; 0.19 Min. and max. -1.48; 1.21 --------------------------------------- \emini \bminitwo ```{r 'Var-3-con-econ-vap-est', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE} ggAggHist(data = structure(list(xmin = c(-1.6, -1.4, -1.2, -1, -0.8, -0.6, -0.4, -0.2, 0, 0.2, 0.4, 0.6, 0.8, 1, 1.2), xmax = c(-1.4, -1.2, -1, -0.8, -0.6, -0.4, -0.2, 0, 0.2, 0.4, 0.6, 0.8, 1, 1.2, 1.4), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(1L, 1L, 2L, 4L, 4L, 17L, 53L, 204L, 339L, 137L, 31L, 14L, 7L, 0L, 2L)), class = "data.frame", row.names = c(NA, -15L)), vnam = "con_econ_vap_est") ``` \emini \fullline ## con\_econ\_vap\_se *economic conservatism of the voting-age public (i.e., over 21), posterior SD* \bminione -------------------------------------- Feature Result ------------------------- ------------ Variable type numeric Number of missing obs. 0 (0 %) Number of unique values 816 Median 0.1 1st and 3rd quartiles 0.08; 0.14 Min. and max. 0.02; 0.81 -------------------------------------- \emini \bminitwo ```{r 'Var-4-con-econ-vap-se', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE} ggAggHist(data = structure(list(xmin = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8), xmax = c(0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(436L, 307L, 25L, 0L, 3L, 11L, 24L, 8L, 2L)), class = "data.frame", row.names = c(NA, -9L)), vnam = "con_econ_vap_se") ``` \emini \fullline ## con\_econ\_vep\_est *economic conservatism of the voting-eligible public (i.e., over 21 except black Southerners), posterior mean* \bminione --------------------------------------- Feature Result ------------------------- ------------- Variable type numeric Number of missing obs. 0 (0 %) Number of unique values 816 Median 0.07 1st and 3rd quartiles -0.05; 0.22 Min. and max. -1.47; 1.12 --------------------------------------- \emini \bminitwo ```{r 'Var-5-con-econ-vep-est', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE} ggAggHist(data = structure(list(xmin = c(-1.6, -1.4, -1.2, -1, -0.8, -0.6, -0.4, -0.2, 0, 0.2, 0.4, 0.6, 0.8, 1), xmax = c(-1.4, -1.2, -1, -0.8, -0.6, -0.4, -0.2, 0, 0.2, 0.4, 0.6, 0.8, 1, 1.2 ), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(1L, 1L, 1L, 3L, 6L, 17L, 56L, 201L, 295L, 163L, 51L, 15L, 4L, 2L)), class = "data.frame", row.names = c(NA, -14L)), vnam = "con_econ_vep_est") ``` \emini \fullline ## con\_econ\_vep\_se *economic conservatism of the voting-eligible public (i.e., over 21 except black Southerners), posterior SD* \bminione -------------------------------------- Feature Result ------------------------- ------------ Variable type numeric Number of missing obs. 0 (0 %) Number of unique values 816 Median 0.1 1st and 3rd quartiles 0.08; 0.15 Min. and max. 0.02; 1.05 -------------------------------------- \emini \bminitwo ```{r 'Var-6-con-econ-vep-se', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE} ggAggHist(data = structure(list(xmin = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1), xmax = c(0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 1.1), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(414L, 329L, 25L, 0L, 3L, 9L, 22L, 8L, 4L, 0L, 2L)), class = "data.frame", row.names = c(NA, -11L)), vnam = "con_econ_vep_se") ``` \emini \fullline ## con\_nonlabor\_vap\_est *conservatism of the voting-age public (i.e., over 21) on non-labor economic issues, posterior mean* \bminione --------------------------------------- Feature Result ------------------------- ------------- Variable type numeric Number of missing obs. 0 (0 %) Number of unique values 816 Median 0.05 1st and 3rd quartiles -0.12; 0.2 Min. and max. -2.94; 2.52 --------------------------------------- \emini \bminitwo ```{r 'Var-7-con-nonlabor-vap-est', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE} ggAggHist(data = structure(list(xmin = c(-3, -2.5, -2, -1.5, -1, -0.5, 0, 0.5, 1, 1.5, 2, 2.5), xmax = c(-2.5, -2, -1.5, -1, -0.5, 0, 0.5, 1, 1.5, 2, 2.5, 3), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(2L, 3L, 2L, 10L, 31L, 288L, 421L, 32L, 14L, 10L, 2L, 1L)), class = "data.frame", row.names = c(NA, -12L)), vnam = "con_nonlabor_vap_est") ``` \emini \fullline ## con\_nonlabor\_vap\_se *conservatism of the voting-age public (i.e., over 21) on non-labor economic issues, posterior SD* \bminione -------------------------------------- Feature Result ------------------------- ------------ Variable type numeric Number of missing obs. 0 (0 %) Number of unique values 816 Median 0.15 1st and 3rd quartiles 0.12; 0.27 Min. and max. 0.03; 1.87 -------------------------------------- \emini \bminitwo ```{r 'Var-8-con-nonlabor-vap-se', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE} ggAggHist(data = structure(list(xmin = c(0, 0.2, 0.4, 0.6, 0.8, 1, 1.2, 1.4, 1.6, 1.8), xmax = c(0.2, 0.4, 0.6, 0.8, 1, 1.2, 1.4, 1.6, 1.8, 2), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(576L, 125L, 55L, 10L, 2L, 5L, 11L, 21L, 8L, 3L)), class = "data.frame", row.names = c(NA, -10L)), vnam = "con_nonlabor_vap_se") ``` \emini \fullline ## con\_nonlabor\_vep\_est *conservatism of the voting-eligible public (i.e., over 21 except black Southerners) on non-labor economic issues, posterior mean* \bminione --------------------------------------- Feature Result ------------------------- ------------- Variable type numeric Number of missing obs. 0 (0 %) Number of unique values 816 Median 0.05 1st and 3rd quartiles -0.1; 0.2 Min. and max. -3.27; 2.37 --------------------------------------- \emini \bminitwo ```{r 'Var-9-con-nonlabor-vep-est', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE} ggAggHist(data = structure(list(xmin = c(-3.5, -3, -2.5, -2, -1.5, -1, -0.5, 0, 0.5, 1, 1.5, 2), xmax = c(-3, -2.5, -2, -1.5, -1, -0.5, 0, 0.5, 1, 1.5, 2, 2.5), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(1L, 1L, 1L, 4L, 11L, 28L, 282L, 431L, 31L, 15L, 9L, 2L)), class = "data.frame", row.names = c(NA, -12L )), vnam = "con_nonlabor_vep_est") ``` \emini \fullline ## con\_nonlabor\_vep\_se *conservatism of the voting-eligible public (i.e., over 21 except black Southerners) on non-labor economic issues, posterior SD* \bminione -------------------------------------- Feature Result ------------------------- ------------ Variable type numeric Number of missing obs. 0 (0 %) Number of unique values 816 Median 0.15 1st and 3rd quartiles 0.11; 0.27 Min. and max. 0.03; 2.27 -------------------------------------- \emini \bminitwo ```{r 'Var-10-con-nonlabor-vep-se', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE} ggAggHist(data = structure(list(xmin = c(0, 0.2, 0.4, 0.6, 0.8, 1, 1.2, 1.4, 1.6, 1.8, 2, 2.2), xmax = c(0.2, 0.4, 0.6, 0.8, 1, 1.2, 1.4, 1.6, 1.8, 2, 2.2, 2.4), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(581L, 120L, 56L, 10L, 1L, 4L, 10L, 18L, 9L, 5L, 1L, 1L)), class = "data.frame", row.names = c(NA, -12L)), vnam = "con_nonlabor_vep_se") ``` \emini \fullline ## con\_labor\_vap\_est *economic conservatism of the voting-age public (i.e., over 21) on labor economic issues, posterior mean* \bminione --------------------------------------- Feature Result ------------------------- ------------- Variable type numeric Number of missing obs. 48 (5.88 %) Number of unique values 768 Median 0.07 1st and 3rd quartiles -0.04; 0.2 Min. and max. -0.62; 0.46 --------------------------------------- \emini \bminitwo ```{r 'Var-11-con-labor-vap-est', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE} ggAggHist(data = structure(list(xmin = c(-0.7, -0.6, -0.5, -0.4, -0.3, -0.2, -0.1, 0, 0.1, 0.2, 0.3, 0.4), xmax = c(-0.6, -0.5, -0.4, -0.3, -0.2, -0.1, 0, 0.1, 0.2, 0.3, 0.4, 0.5), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(1L, 0L, 3L, 15L, 42L, 70L, 132L, 160L, 150L, 133L, 54L, 8L)), class = "data.frame", row.names = c(NA, -12L)), vnam = "con_labor_vap_est") ``` \emini \fullline ## con\_labor\_vap\_se *economic conservatism of the voting-age public (i.e., over 21) on labor economic issues, posterior SD* \bminione --------------------------------------- Feature Result ------------------------- ------------- Variable type numeric Number of missing obs. 48 (5.88 %) Number of unique values 768 Median 0.09 1st and 3rd quartiles 0.07; 0.1 Min. and max. 0.03; 0.14 --------------------------------------- \emini \bminitwo ```{r 'Var-12-con-labor-vap-se', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE} ggAggHist(data = structure(list(xmin = c(0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0.11, 0.12, 0.13, 0.14), xmax = c(0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0.11, 0.12, 0.13, 0.14, 0.15), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(1L, 19L, 42L, 60L, 70L, 116L, 143L, 163L, 93L, 35L, 20L, 5L, 1L)), class = "data.frame", row.names = c(NA, -13L)), vnam = "con_labor_vap_se") ``` \emini \fullline ## con\_labor\_vep\_est *economic conservatism of the voting-eligible public (i.e., over 21 except black Southerners) on labor economic issues, posterior mean* \bminione --------------------------------------- Feature Result ------------------------- ------------- Variable type numeric Number of missing obs. 48 (5.88 %) Number of unique values 768 Median 0.08 1st and 3rd quartiles -0.04; 0.23 Min. and max. -0.64; 0.61 --------------------------------------- \emini \bminitwo ```{r 'Var-13-con-labor-vep-est', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE} ggAggHist(data = structure(list(xmin = c(-0.7, -0.6, -0.5, -0.4, -0.3, -0.2, -0.1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6), xmax = c(-0.6, -0.5, -0.4, -0.3, -0.2, -0.1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(1L, 1L, 2L, 13L, 44L, 70L, 130L, 142L, 127L, 127L, 74L, 29L, 7L, 1L)), class = "data.frame", row.names = c(NA, -14L)), vnam = "con_labor_vep_est") ``` \emini \fullline ## con\_labor\_vep\_se *economic conservatism of the voting-eligible public (i.e., over 21 except black Southerners) on labor economic issues, posterior SD* \bminione --------------------------------------- Feature Result ------------------------- ------------- Variable type numeric Number of missing obs. 48 (5.88 %) Number of unique values 768 Median 0.09 1st and 3rd quartiles 0.07; 0.1 Min. and max. 0.03; 0.15 --------------------------------------- \emini \bminitwo ```{r 'Var-14-con-labor-vep-se', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE} ggAggHist(data = structure(list(xmin = c(0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0.11, 0.12, 0.13, 0.14, 0.15), xmax = c(0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0.11, 0.12, 0.13, 0.14, 0.15, 0.16), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(1L, 21L, 41L, 59L, 64L, 109L, 146L, 154L, 102L, 37L, 24L, 7L, 2L, 1L)), class = "data.frame", row.names = c(NA, -14L)), vnam = "con_labor_vep_se") ``` \emini \fullline ## con\_race\_vap\_est *racial conservatism of the voting-age public (i.e., over 21), posterior mean* \bminione --------------------------------------- Feature Result ------------------------- ------------- Variable type numeric Number of missing obs. 48 (5.88 %) Number of unique values 768 Median 0.02 1st and 3rd quartiles -0.1; 0.21 Min. and max. -0.6; 0.92 --------------------------------------- \emini \bminitwo ```{r 'Var-15-con-race-vap-est', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE} ggAggHist(data = structure(list(xmin = c(-0.6, -0.5, -0.4, -0.3, -0.2, -0.1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9), xmax = c(-0.5, -0.4, -0.3, -0.2, -0.1, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(3L, 10L, 21L, 39L, 122L, 146L, 143L, 89L, 65L, 66L, 27L, 22L, 4L, 4L, 6L, 1L)), class = "data.frame", row.names = c(NA, -16L)), vnam = "con_race_vap_est") ``` \emini \fullline ## con\_race\_vap\_se *racial conservatism of the voting-age public (i.e., over 21), posterior SD* \bminione --------------------------------------- Feature Result ------------------------- ------------- Variable type numeric Number of missing obs. 48 (5.88 %) Number of unique values 768 Median 0.14 1st and 3rd quartiles 0.11; 0.18 Min. and max. 0.04; 0.97 --------------------------------------- \emini \bminitwo ```{r 'Var-16-con-race-vap-se', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE} ggAggHist(data = structure(list(xmin = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9), xmax = c(0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(152L, 467L, 103L, 24L, 11L, 5L, 1L, 2L, 2L, 1L)), class = "data.frame", row.names = c(NA, -10L)), vnam = "con_race_vap_se") ``` \emini \fullline ## con\_race\_vep\_est *racial conservatism of the voting-eligible public (i.e., over 21 except black Southerners), posterior mean* \bminione --------------------------------------- Feature Result ------------------------- ------------- Variable type numeric Number of missing obs. 48 (5.88 %) Number of unique values 768 Median -0.01 1st and 3rd quartiles -0.14; 0.38 Min. and max. -0.63; 1.36 --------------------------------------- \emini \bminitwo ```{r 'Var-17-con-race-vep-est', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE} ggAggHist(data = structure(list(xmin = c(-0.8, -0.6, -0.4, -0.2, 0, 0.2, 0.4, 0.6, 0.8, 1, 1.2), xmax = c(-0.6, -0.4, -0.2, 0, 0.2, 0.4, 0.6, 0.8, 1, 1.2, 1.4), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(2L, 16L, 89L, 295L, 149L, 35L, 83L, 62L, 21L, 8L, 8L)), class = "data.frame", row.names = c(NA, -11L )), vnam = "con_race_vep_est") ``` \emini \fullline ## con\_race\_vep\_se *racial conservatism of the voting-eligible public (i.e., over 21 except black Southerners), posterior SD* \bminione --------------------------------------- Feature Result ------------------------- ------------- Variable type numeric Number of missing obs. 48 (5.88 %) Number of unique values 768 Median 0.14 1st and 3rd quartiles 0.11; 0.18 Min. and max. 0.04; 0.99 --------------------------------------- \emini \bminitwo ```{r 'Var-18-con-race-vep-se', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE} ggAggHist(data = structure(list(xmin = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9), xmax = c(0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(144L, 458L, 114L, 26L, 14L, 5L, 2L, 2L, 1L, 2L)), class = "data.frame", row.names = c(NA, -10L)), vnam = "con_race_vep_se") ``` \emini \fullline Report generation information: * Created by: Devin Caughey (username: `devin`). * Report creation time: Tue Sep 01 2020 20:51:33 * Report was run from directory: `/Users/devin/Dropbox (MIT)/1-private/scholarship/South/Stats/replication/codebook` * dataMaid v1.4.0 [Pkg: 2019-12-10 from CRAN (R 4.0.2)] * R version 4.0.2 (2020-06-22). * Platform: x86_64-apple-darwin17.0 (64-bit)(macOS Catalina 10.15.6). * Function call: `dataMaid::makeDataReport(data = st_save, mode = c("summarize", "visualize", "check"), smartNum = FALSE, file = "econ_st_codebook.Rmd", replace = TRUE, checks = list(character = "showAllFactorLevels", factor = "showAllFactorLevels", labelled = "showAllFactorLevels", haven_labelled = "showAllFactorLevels", numeric = NULL, integer = NULL, logical = NULL, Date = NULL), listChecks = FALSE, maxProbVals = Inf, codebook = TRUE, reportTitle = "Codebook for State-Level Estimates of Mass Conservatism used in Devin Caughey's \\emph{The Unsolid South}")`