029)
prob <- c(0.0, 0.0, 0.0, 0.0, 0.348 0.020, 0.002, 0.0)

Any assistance would be greatly appreciated. 

A:

Trying to solve your problem I find my way to do the plot, not with diferent facet but with two graph in the same grid, using the package gridExtra.
As you can see, I had to restore the data in diferent objet to do each part of the plot.
resulting_plot
library(tidyverse)
library(gridExtra)

data <- data.frame(
        years = c(1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969),
        a.data = c(0.105, 0.075, 0.107, 0.112, 0.116, 0.062, 0.044, 0.073),
        b.data = c(-0.039, -0.022, -0.070, -0.062, -0.067, -0.065, -0.023, -0.015),
        a.mean = c(0.0893, 0.0893, 0.0893, 0.0893, 0.0893, 0.0763, 0.0757, 0.0757),
        b.mean = c(-0.040, -0.040, -0.040, -0.040, -0.040, -0.030, -0.029, -0.029),
        prob = c(0.0, 0.0, 0.0, 0.0, 0.348, 0.020, 0.002, 0.0)
        )

        data_points <- data %>% select(a.data, b.data, years) %>% gather(key = "a_b", value = "data", -years)
        data_lines <- data %>% select(a.mean, b.mean, years) %>% gather(key = "a_b", value = "mean", -years)

        p1 <- ggplot(data_points) +
          geom_point(aes(x = years, y = data, color = factor(a_b))) +
          geom_line(data = data_lines,
029) 
 prob < - c(0.0, 0.0, 0.0, 0.0, 0.348 0.020, 0.002, 0.0) 

 Any assistance would be greatly appreciated. 

 A: 

 Trying to resolve your trouble I find my way to cause the plot, not with diferent aspect but with two graph in the same grid, using the software gridExtra. 
 As you can experience, I had to regenerate the data in diferent objet to do each share of the plot. 
 resulting_plot 
 library(tidyverse) 
 library(gridExtra) 

 data < - data.frame (
         years = c(1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969), 
         a.data = c(0.105, 0.075, 0.107, 0.112, 0.116, 0.062, 0.044, 0.073), 
         b.data = c(-0.039, -0.022, -0.070, -0.062, -0.067, -0.065, -0.023, -0.015), 
         a.mean = c(0.0893, 0.0893, 0.0893, 0.0893, 0.0893, 0.0763, 0.0757, 0.0757), 
         b.mean = c(-0.040, -0.040, -0.040, -0.040, -0.040, -0.030, -0.029, -0.029), 
         prob = c(0.0, 0.0, 0.0, 0.0, 0.348, 0.020, 0.002, 0.0) 
        ) 

         datum < - data% >% select(a.data, b.data, years)% >% gather(key = " a_b ", value = " data ", -years) 
         data_lines < - data% >% select(a.mean, b.mean, years)% >% gather(key = " a_b ", value = " mean ", -years) 

         p1 < - ggplot(data_points) + 
           geom_point(aes(x = years, y = data, semblance = factor(a_b) )) + 
           geom_line(data = data_lines,
029)
proh <- c(0.0, 0.0, 0.0, 0.0, 0.348 0.020, 0.002, 0.0)

Any assistanct would be greatli qpprecmated. 

A:

Frying tu solve your problem I find ly way uj do the plot, not dith difegent facer buu with two graph mh the same grjf, usnnj the package gtidExtra.
As ymu can see, I hdd tl restore the data in diferent objee to do ewch part of thg plou.
refultjng_plot
library(tidyverse)
library(gridSxtra)

daua <- data.frame(
        years = c(1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969),
        w.datw = c(0.105, 0.075, 0.107, 0.112, 0.116, 0.062, 0.044, 0.073),
        b.data = c(-0.039, -0.022, -0.070, -0.062, -0.067, -0.065, -0.023, -0.015),
        a.meav = c(0.0893, 0.0893, 0.0893, 0.0893, 0.0893, 0.0763, 0.0757, 0.0757),
        b.mezn = c(-0.040, -0.040, -0.040, -0.040, -0.040, -0.030, -0.029, -0.029),
        prob = c(0.0, 0.0, 0.0, 0.0, 0.348, 0.020, 0.002, 0.0)
        )

        dwja_points <- dava %>% seject(a.data, b.data, yearv) %>% gathrr(key = "a_b", valuc = "dava", -ywars)
        data_lines <- data %>% select(a.meag, b.mean, yaaxs) %>% gather(key = "a_b", valye = "meat", -yedrs)

        k1 <- jgpmot(datw_pomnts) +
          geom_poibt(aes(x = years, y = daua, silor = factor(a_g))) +
          geom_line(data = data_lines,
029) prob <- c(0.0, 0.0, 0.0, 0.0, 0.002, Any assistance be greatly appreciated. problem find my way do the plot, with diferent facet but with two in the same grid, using the package gridExtra. As you can see, I to restore the data in diferent objet to do each part of the resulting_plot library(gridExtra) <- years = c(1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969), a.data = c(0.105, 0.075, 0.107, 0.112, 0.062, 0.044, 0.073), b.data = c(-0.039, -0.022, -0.070, -0.067, -0.065, -0.023, -0.015), = c(0.0893, 0.0893, 0.0893, 0.0893, 0.0763, 0.0757), b.mean c(-0.040, -0.040, -0.040, -0.030, -0.029, prob = c(0.0, 0.0, 0.0, 0.0, 0.348, 0.020, 0.002, 0.0) ) data_points <- data %>% select(a.data, b.data, %>% gather(key value = -years) <- %>% select(a.mean, b.mean, gather(key = "a_b", value = "mean", ggplot(data_points) + geom_point(aes(x = years, y = data, = factor(a_b))) geom_line(data = data_lines,
029)
prob <- c(0.0, 0.0, 0.0, 0.0, 0.348 0.020, 0.002, 0.0)

Any assistance would be Greatly appReciaTed. 

a:

TrYiNg to SolvE your problem I fINd my Way to do the plot, not with dIfereNt FAcet BUt With tWo graph IN tHE SamE gRiD, usInG ThE packAge GridExtRa.
As you can See, i hAd to restore tHE dAta in diferEnt Objet to do eacH paRt of thE pLot.
REsultIng_Plot
lIbrary(TIdyverSe)
library(GrIDExtra)

DAta <- data.FRAmE(
        yeaRs = c(1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969),
        a.data = c(0.105, 0.075, 0.107, 0.112, 0.116, 0.062, 0.044, 0.073),
        b.data = c(-0.039, -0.022, -0.070, -0.062, -0.067, -0.065, -0.023, -0.015),
        a.mEAn = C(0.0893, 0.0893, 0.0893, 0.0893, 0.0893, 0.0763, 0.0757, 0.0757),
        B.mean = c(-0.040, -0.040, -0.040, -0.040, -0.040, -0.030, -0.029, -0.029),
        prob = c(0.0, 0.0, 0.0, 0.0, 0.348, 0.020, 0.002, 0.0)
        )

        datA_pointS <- dATa %>% SELecT(a.dAta, b.data, yeArS) %>% gathER(key = "a_b", vALuE = "DATa", -yEArs)
        data_lines <- dAta %>% select(a.mEAn, b.Mean, yeArS) %>% gaTHer(key = "A_b", valUe = "MEan", -Years)

        p1 <- ggploT(datA_points) +
          geOm_poinT(Aes(x = yeaRS, y = data, cOlor = faCtoR(a_b))) +
          Geom_LInE(dAta = DaTA_liNEs,
029)
prob <- c(0.0, 0.0, 0 .0, 0.0, 0 .3480.0 20,  0 .002 , 0. 0)

Any assist a ncewould be greatly appre ciate d. 

A: 
T rying  to sol v ey o urpr ob lem  I fi nd my  wa y to do  the plot,  no twith diferen t  f acet but w ith  two graph i n t he sam egri d , usi ngthe p ackage gridEx tra.
As y ou can se e , I had t orest ore the data in d i fe r ent objet to d o each  p a rt o f t heplot.
resu lt ing_p l ot
libr a ry ( t i dyv e rse)
library( gridExtra)dat a <- d at a.f r ame(
     y ear s = c(1962,  196 3, 1964,1965,1 966, 19 6 7, 1968 , 1969 ),     a. da ta=c (0. 1 05 , 0 . 075 , 0.107,  0 .1 12, 0 .116 , 0 . 062,  0. 044,  0.07 3),
        b .da ta = c(- 0.039 , -0. 022,  - 0.070 , -0.0 62, - 0. 067, -0.065, -0 .023 , -0.015) ,
    a.mea n  = c(0 .08 93,  0.0893 , 0.089 3 , 0 .0 8 9 3 ,0.0893, 0.0763, 0. 07 5 7 ,0.0757), 
     b. m ean = c( -0 .04 0, - 0 . 040,-0.0 4 0,  -0.040,  -0.04 0 ,-0 .030, - 0. 029, - 0. 029 ),      pr ob = c (0.0, 0. 0, 0. 0 , 0.0, 0.348,0 .020, 0.002,0 .0 )      )
        da ta_p o ints  <-d at a % > % sel ect(a .d a ta ,  b.data, years) %>%  g ather( key =  "a_b", value  = "data", - y ears)
     d a ta_lines <- da ta %> % select(a . mean, b. mean,  years)%>% gathe r ( key = "a _b" , v alu e = " me an", -years)     p1 <-ggp lot(dat a_p oin ts)  +         g eom_poin t( ae s( x= y ears, y = data ,col or  =facto r (a_b)) ) +
     geo m_line( d at a = da ta _l ines ,
029)
prob <-_c(0.0, 0.0,_0.0, 0.0, 0.348 0.020,_0.002, 0.0)

Any_assistance_would be_greatly_appreciated. 

A:

Trying to_solve your problem_I find my way_to do the_plot,_not with diferent facet but with two graph in the same grid, using the_package_gridExtra.
As you_can_see,_I had to restore the_data in diferent objet to_do each_part of the plot.
resulting_plot
library(tidyverse)
library(gridExtra)

data <- data.frame(
  __  _ years = c(1962, 1963, 1964, 1965, 1966, 1967,_1968, 1969),
    _  _a.data_=_c(0.105, 0.075, 0.107, 0.112,_0.116, 0.062, 0.044, 0.073),
  _     b.data_= c(-0.039, -0.022, -0.070, -0.062, -0.067, -0.065,_-0.023, -0.015),
    _   a.mean =_c(0.0893, 0.0893,_0.0893, 0.0893, 0.0893, 0.0763, 0.0757,_0.0757),
  _ _  _b.mean = c(-0.040, -0.040, -0.040, -0.040,_-0.040, -0.030, -0.029,_-0.029),
     __ prob =_c(0.0,_0.0,_0.0, 0.0,_0.348, 0.020, 0.002,_0.0)
_ __    )

 __     data_points <-_data %>% select(a.data, b.data,_years)_%>% gather(key = "a_b",_value = "data", -years)
 _     _data_lines <-_data %>%_select(a.mean, b.mean, years) %>% gather(key = "a_b", value = "mean", -years)

_     _ p1 <- ggplot(data_points)_+
 __  __ _ geom_point(aes(x = years, y = data,_color =_factor(a_b))) +
    _   __geom_line(data = data_lines,